Index for tunin

_	tuning	_
5%>100%: Breaking Performance Shackles of Full Fine-	tuning	on Visual Recognition Tasks
Active Fine-	tuning	From gMAD Examples Improves Blind Image Quality Assessment
AdaAugment: A	tuning	-Free and Adaptive Approach to Enhance Data Augmentation
Adaprompt: Prompt	tuning	with Adaptive Neighbours for Generalized Category Discovery
AdaptGCD: Multi-Expert Adapter	tuning	for Generalized Category Discovery
Adapting Shortcut with Normalizing Flow: An Efficient	tuning	Framework for Visual Recognition
Adaptive and Self-	tuning	SBL With Total Variation Priors for Block-Sparse Signal Recovery
Adaptive Parameter Selection for	tuning	Vision-Language Models
Adaptive Random Feature Regularization on Fine-	tuning	Deep Neural Networks
Adaptive Transfer Learning for Surgical Tool Presence Detection in Laparoscopic Videos Through Gradual Freezing Fine-	tuning
Adaptive video communication for an intelligent distributed system:	tuning	sensors parameters for surveillance purposes
Adaptively	tuning	a Convolutional Neural Network by Gating Process for Image Denoising
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language	tuning
AdMiT: Adaptive Multi-Source	tuning	in Dynamic Environments
Advancements in Medical Image Classification Through Fine-	tuning	Natural Domain Foundation Models
Adversarial Domain Prompt	tuning	and Generation for Single Domain Generalization
Adversarial Prompt	tuning	for Vision-language Models
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-	tuning
Agent-Based Control Prompt	tuning	for Video-Text Retrieval
AgroGPT: Efficient Agricultural Vision-Language Model with Expert	tuning
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-	tuning	Biased Models with Contextual Synthetic Data
AirDet: Few-Shot Detection Without Fine-	tuning	for Autonomous Exploration
Algorithm for	tuning	an Active Appearance Model to New Data, An
Algorithms for Hyperparameter	tuning	of LSTMs for Time Series Forecasting
Align-A-Video: Deterministic Reward	tuning	of Image Diffusion Models for Consistent Video Editing
AlignDet: Aligning Pre-training and Fine-	tuning	in Object Detection
Alleviating Representational Shift for Continual Fine-	tuning
AMU-	tuning	: Effective Logit Bias for CLIP-based Few-shot Learning
Application of Evolutionary Computation for Berth Scheduling at Marine Container Terminals: Parameter	tuning	Versus Parameter Control
ArGue: Attribute-Guided Prompt	tuning	for Vision-Language Models
ASAM: Boosting Segment Anything Model with Adversarial	tuning
Assessing Neural Network Robustness via Adversarial Pivotal	tuning
Atten-Adapter: A Unified Attention-Based Adapter for Efficient	tuning
Attention Prompt	tuning	: Parameter-efficient Adaptation of Pre-trained Models for Action Recognition
AttriPrompt: Class Attribute-Aware Prompt	tuning	for Vision-Language Model
Augmented Neural Fine-	tuning	for Efficient Backdoor Purification
Auto-	tuning	of Attitude Control System for Heterogeneous Multirotor UAS
Auto-	tuning	Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap
Auto-	tuning	Structured Light by Optical Stochastic Gradient Descent
Automated	tuning	of the nonlinear complementary filter for an Attitude Heading Reference observer
Automatic Estimation of the Legibility of Binarised Historic Documents for Unsupervised Parameter	tuning
Automatic ISP Image Quality	tuning	Using Nonlinear Optimization
Automatic Selection of	tuning	Parameters for Feature Extraction Sequences
Automatic	tuning	of Denoising Algorithms Parameters Without Ground Truth
Automatic	tuning	of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms
Automatic	tuning	of the Pulse-Coupled Neural Network Using Differential Evolution for Image Segmentation
A^2Pt: Anti-Associative Prompt	tuning	for Open Set Visual Recognition
Best Practices for Fine-	tuning	Visual Classifiers to New Domains
Bi-Modality Individual-Aware Prompt	tuning	for Visual-Language Model
BiasBench: A Reproducible Benchmark for	tuning	the Biases of Event Cameras
Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-	tuning	Approach
Boosting Query Efficiency of Meta Attack With Dynamic Fine-	tuning
Boosting Transductive Few-Shot Fine-	tuning	with Margin-based Uncertainty Weighting and Probability Regularization
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-	tuning
Bottom-up Domain Prompt	tuning	for Generalized Face Anti-spoofing
Bridging Vision and Language Encoders: Parameter-Efficient	tuning	for Referring Image Segmentation
BT-Adapter: Video Conversation is Feasible Without Video Instruction	tuning
Cache-Adapter: Efficient video action recognition using adapter fine-	tuning	and cache memorization technique
Candidate-aware graph prompt-	tuning	for recommendation
CAT-SAM: Conditional	tuning	for Few-shot Adaptation of Segment Anything Model
CAT-TPT: Class-Agnostic Text-based Test-time Prompt	tuning	for Vision-Language Models
Causal Interventional Prompt	tuning	for Few-Shot Out-of-Distribution Generalization
Center-VAE with discriminative and semantic-relevant fine-	tuning	features for generalized zero-shot learning
Chain-of-LoRA: Enhancing the Instruction Fine-	tuning	Performance of Low-Rank Adaptation on Diverse Instruction Set
Charm: The Missing Piece in ViT fine-	tuning	for Image Aesthetic Assessment
CityLLaVA: Efficient Fine-	tuning	for VLMs in City Scenario
Class-Specific Knowledge-Guided Multimodal Prompt	tuning	for Few-Shot Class-Incremental Learning
CLIP goes 3D: Leveraging Prompt	tuning	for Language Grounded 3D Recognition
Closed-Loop Supervised Fine-	tuning	of Tokenized Traffic Models
CNN Image Retrieval Learns from BoW: Unsupervised Fine-	tuning	with Hard Examples
CNN-Based Real-Time Parameter	tuning	for Optimizing Denoising Filter Performance
Coarse-to-fine parameter	tuning	for content-based object categorization
CODA: Instructive Chain-of-domain Adaptation with Severity-aware Visual Prompt	tuning
Coding Gain and	tuning	for Parametrized Visual Quality Metrics
Coeff-	tuning	: A Graph Filter Subspace View for Tuning Attention-Based Large Models
Coeff-	tuning	: A Graph Filter Subspace View for Tuning Attention-Based Large Models
COFT-AD: COntrastive Fine-	tuning	for Few-Shot Anomaly Detection
Comparative Analysis of Automatic Speech Recognition Fine-	tuning	Strategies for Speech From Cochlear Implant Users
Comparison of Fine-	tuning	and Extension Strategies for Deep Convolutional Neural Networks
Comparison of fine-	tuning	strategies for transfer learning in medical image classification
Comparison Visual Instruction	tuning
Complexity-based Rate Distortion Optimization with Perceptual	tuning	for Scalable Video Coding
Component Weight	tuning	of SSIM Image Quality Assessment Measure
Compressing Deep CNNs Using Basis Representation and Spectral Fine-	tuning
Compression-Aware	tuning	for Compressing Volumetric Radiance Fields
Concept-wise Fine-	tuning	Matters in Preventing Negative Transfer
Conditioned and composed image retrieval combining and partially fine-	tuning	CLIP-based features
Consistent Prompt	tuning	for Generalized Category Discovery
Context-Aware and Semantic-Consistent Spatial Interactions for One-Shot Object Detection Without Fine-	tuning
Context-Aware Robust Fine-	tuning
Continuous Sign Language Recognition with Iterative Spatiotemporal Fine-	tuning
ControlVAE:	tuning	, Analytical Properties, and Performance Analysis
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine	tuning	?
Convolutional neural networks: Ensemble modeling, fine-	tuning	and unsupervised semantic localization for neurosurgical CLE images
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt	tuning
Cost-effective Method for Improving and Re-purposing Large, Pre-trained GANs by Fine-	tuning	Their Class-embeddings, A
CRAFT: Class Ranking Aware Fine-	tuning	for Enhanced Out-of-Distribution Detection
Cross-Domain Land Surface Temperature Retrieval via Strategic Fine-	tuning	-Based Transfer Learning: Application to GF5-02 VIMI Imagery
Cross-Modal Feature Alignment and MMD Improve Robustness of Prompt	tuning
CTPT: Continual Test-time Prompt	tuning	for vision-language models
Curiosity Guided Fine-	tuning	for Encoder-Decoder-Based Visual Forecasting
D-LSM: Deep Liquid State Machine with unsupervised recurrent reservoir	tuning
DA-VPT: Semantic-Guided Visual Prompt	tuning	for Vision Transformers
DAR-Prompt: Dynamic Regulation in Prompt	tuning	for Multi-Label Zero-Shot Learning
DAT: Dual-Branch Adapter-	tuning	for Few-Shot Recognition
Data-Free Quantization via Mixed-Precision Compensation without Fine-	tuning
Decouple Before Align: Visual Disentanglement Enhances Prompt	tuning
Deep Learning Model With Fine-	tuning	for Generalized Few-Shot Activity Recognition
Deep Learning on Active Sonar Data Using Bayesian Optimization for Hyperparameter	tuning
Deep Recurrent Electricity Theft Detection in AMI Networks with Random	tuning	of Hyper-parameters
Deep Reward Supervisions for	tuning	Text-to-image Diffusion Models
DePT: Decoupled Prompt	tuning
Design of Self-	tuning	IU Systems
DGFMamba: Model fine-	tuning	based on bidirectional state space for domain generalization semantic segmentation
Diabetic Retinopathy Detection Method Based on Improved Convolutional Neural Network Using Fine-	tuning
Differences in temporal frequency	tuning	between the two binocular mechanisms for seeing motion in depth Virtual Journal
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-	tuning
DiffuseKronA: A Parameter Efficient Fine-	tuning	Method for Personalized Diffusion Models
Diffusion filtering without parameter	tuning	: Models and inference tools
Diffusion-Based Continuous Sign Language Generation with Cluster-Specific Fine-	tuning	and Motion-Adapted Transformer
DiPrompT: Disentangled Prompt	tuning	for Multiple Latent Domain Generalization in Federated Learning
Discriminative Probing and	tuning	for Text-to-Image Generation
DisenDreamer: Subject-Driven Text-to-Image Generation With Sample-Aware Disentangled	tuning
Disparity	tuning	as Simulated by a Neural Net
Disparity	tuning	guided stereoscopic saliency detection for eye fixation prediction
Distribution-Aware Prompt	tuning	for Vision-Language Models
DiTASK: Multi-Task Fine-	tuning	with Diffeomorphic Transformations
DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for	tuning	-Free Multi-Prompt Longer Video Generation
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt	tuning
DLCFT: Deep Linear Continual Fine-	tuning	for General Incremental Learning
DMPT: Decoupled Modality-Aware Prompt	tuning	for Multi-Modal Object Re-Identification
Document binarization with automatic parameter	tuning
Domain Adaptation and Fine-	tuning	of a Deep Learning Segmentation Model of Small Agricultural Burn Area Detection Using High-Resolution Sentinel-2 Observations: A Case Study of Punjab, India
Domain generalization for semantic segmentation of remote sensing images via vision foundation model fine-	tuning
Domain Prompt	tuning	via Meta Relabeling for Unsupervised Adversarial Adaptation
DomainStudio: Fine-	tuning	Diffusion Models for Domain-Driven Image Generation Using Limited Data
DP-k-modes: A self-	tuning	k-modes clustering algorithm
DPC: Dual-Prompt Collaboration for	tuning	Vision-Language Models
DR-Tune: Improving Fine-	tuning	of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
DreamBlend: Advancing Personalized Fine-	tuning	of Text-to-Image Diffusion Models
DreamBooth: Fine	tuning	Text-to-Image Diffusion Models for Subject-Driven Generation
Dropout Mixture Low-rank Adaptation for Visual Parameters-efficient Fine-	tuning
DSP-Oriented Low Level Processing for Adaptive	tuning	of Video Surveillance Images
Dual Modality Prompt	tuning	for Vision-Language Pre-Trained Model
Dual-Schedule Inversion: Training- and	tuning	-Free Inversion for Real Image Editing
Dual-	tuning	: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
Dynamic Adapter Meets Prompt	tuning	: Parameter-Efficient Transfer Learning for Point Cloud Analysis
Dynamic Adapter	tuning	for Long-Tailed Class-Incremental Learning
Dynamic Self-	tuning	Maximum Correntropy Kalman Filter for Wireless Sensors Networks Positioning Systems, A
Dynamic-Net:	tuning	the Objective Without Re-Training for Synthesis Tasks
E2VPT: An Effective and Efficient Approach for Visual Prompt	tuning
Early Preparation Pays Off: New Classifier Pre-	tuning	for Class Incremental Semantic Segmentation
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt	tuning
Effect of layer-wise fine-	tuning	in magnification-dependent classification of breast cancer histopathological image
Effectiveness of Max-Pooling for Fine-	tuning	CLIP on Videos
Efficient and Versatile Robust Fine-	tuning	of Zero-shot Models
Efficient document image binarization using heterogeneous computing and parameter	tuning
Efficient Fine-	tuning	and Concept Suppression for Pruned Diffusion Models
Efficient Fine-	tuning	of Deep Neural Networks with Effective Parameter Allocation
Efficient Fine-	tuning	of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems
Efficient Meta-	tuning	for Content-Aware Neural Video Delivery
efficient method for	tuning	handwriting parameters, An
Efficient Object Tracking by Incremental Self-	tuning	Particle Filtering on the Affine Group
Efficient, Self-Supervised Human Pose Estimation with Inductive Prior	tuning
EmoVIT: Revolutionizing Emotion Insights with Visual Instruction	tuning
Empirical comparison of cross-validation and internal metrics for	tuning	SVM hyperparameters
empirical comparison of in-learning and post-learning optimization schemes for	tuning	the support vector machines in cost-sensitive applications, An
Empirical study of Data-Free Quantization's	tuning	Robustness, An
Enhancing Fine-	tuning	based Backdoor Defense with Sharpness-Aware Minimization
Enhancing Neural Adaptive Wireless Video Streaming via Cross-Layer Information Exposure and Online	tuning
Enhancing the Transferability of Adversarial Attacks through Variance	tuning
Enhancing Video Anomaly Understanding via Multi-Task Instruction	tuning
Ensemble Knowledge Guided Sub-network Search and Fine-	tuning	for Filter Pruning
EVA: Enabling Video Attributes With Hierarchical Prompt	tuning	for Action Recognition
Evaluation of Sampling and Cross-Validation	tuning	Strategies for Regional-Scale Machine Learning Classification
Exemplar Fine-	tuning	for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-	tuning
Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-	tuning
Exploring Effective Unfolding Covering Prompt	tuning	for Vision Mamba
Exploring Fine-Grained Visual-Text Feature Alignment With Prompt	tuning	for Domain-Adaptive Object Detection
Extreme Weather Recognition Using a Novel Fine-	tuning	Strategy and Optimized GoogLeNet
Facial Affective Behavior Analysis with Instruction	tuning
Factorized Convolutional Networks: Unsupervised Fine-	tuning	for Image Clustering
Fair-VPT: Fair Visual Prompt	tuning	for Image Classification
FAOT-Net: A 1.5-Stage Framework for 3D Pelvic Lymph Node Detection With Online Candidate	tuning
Fast Fine-	tuning	Using Curriculum Domain Adaptation
Fast Self-	tuning	Background Subtraction Algorithm, A
FastComposer:	tuning	-Free Multi-subject Image Generation with Localized Attention
FastEdit: fast text-guided single-image editing via semantic-aware diffusion fine-	tuning
Faster Parameter-Efficient	tuning	with Token Redundancy Reduction
FCL-ViT: Task-aware attention	tuning	for Continual Learning
Feature fine-	tuning	and attribute representation transformation for zero-shot learning
Fedra: A Random Allocation Strategy for Federated	tuning	to Unleash the Power of Heterogeneous Clients
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-	tuning
Few-Shot Object Detection on Remote Sensing Images via Shared Attention Module and Balanced Fine-	tuning	Strategy
FFTDiff:	tuning	-free image texture transfer based on diffusion model
FiLoRA: Parameter-Efficient Fine-	tuning	With Fisher Information-Guided Low-Rank Adaptation
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction	tuning
Fine	tuning	CNNS with scarce training data: Adapting imagenet to art epoch classification
Fine	tuning	of Deep Contexts Toward Improved Perceptual Quality of In-Paintings
Fine	tuning	, Fine-Tuning, Pre-Training, Zero-Shot, One-Shot
Fine	tuning	, Fine-Tuning, Pre-Training, Zero-Shot, One-Shot
fine-grain distortion and complexity aware parameter	tuning	model for the H.264/AVC encoder, A
Fine-	tuning	Based Deep Convolutional Networks for Lepidopterous Genus Recognition
Fine-	tuning	CNN Image Retrieval with No Human Annotation
Fine-	tuning	Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
Fine-	tuning	Convolutional Neural Networks Using Harmony Search
Fine-	tuning	Convolutional Neural Networks: a comprehensive guide and benchmark analysis for Glaucoma Screening
Fine-	tuning	DARTS for Image Classification
Fine-	tuning	Deep Neural Networks in Continuous Learning Scenarios
Fine-	tuning	for Bayer Demosaicking Through Periodic-Consistent Self-Supervised Learning
Fine-	tuning	for Few-Shot Image Classification by Multimodal Prototype Regularization
Fine-	tuning	for One-look Regression Vehicle Counting in Low-shot Aerial Datasets
Fine-	tuning	Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Fine-	tuning	Heat Stress Algorithms to Optimise Global Predictions of Mass Coral Bleaching
Fine-	tuning	human pose estimations in videos
Fine-	tuning	Image Transformers using Learnable Memory
Fine-	tuning	Image-Conditional Diffusion Models is Easier than you Think
Fine-	tuning	ImageNet-pretrained models in medical image classification: Reassessing the impact of different factors
Fine-	tuning	JPEG-XT compression performance using large-scale objective quality testing
Fine-	tuning	Large Language Models for Automatic Font Skeleton Generation: Exploration and Analysis
Fine-	tuning	Large Language Models With Behavioral Alignment for Depression Detection
Fine-	tuning	LLM-Assisted Chinese Disaster Geospatial Intelligence Extraction and Case Studies
Fine-	tuning	Regression Forests Votes for Object Alignment in the Wild
Fine-	tuning	Self-Organizing Maps for Sentinel-2 Imagery: Separating Clouds from Bright Surfaces
Fine-	tuning	Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation
Fine-	tuning	Vision Transformers for Enhanced Skin Lesion Classification: Navigating the Challenges of Small Datasets
Fine-	tuning	-Based Transfer Learning for Building Extraction from Off-Nadir Remote Sensing Images
FINER: Flexible Spectral-Bias	tuning	in Implicit NEural Representation by Variableperiodic Activation Functions
FisherTune: Fisher-Guided Robust	tuning	of Vision Foundation Models for Domain Generalized Segmentation
Fisheye Object Detection with Visual Prompting-Aided Fine-	tuning
Flexible Biometrics Recognition: Bridging the Multimodality Gap Through Attention, Alignment and Prompt	tuning
Focus-N-Fix: Region-Aware Fine-	tuning	for Text-to-Image Generation
FocusTune:	tuning	Visual Localization through Focus-Guided Sampling
FRAMES-VQA: Benchmarking Fine-	tuning	Robustness across Multi-Modal Shifts in Visual Question Answering
FreeCustom:	tuning	-Free Customized Image Generation for Multi-Concept Composition
Frequency-Aware Multi-Modal Fine-	tuning	for Few-Shot Open-Set Remote Sensing Scene Classification
From pixels to sentiment: Fine-	tuning	CNNs for visual sentiment prediction
Gastritis Detection from Gastric X-Ray Images Via Fine-	tuning	of Patch-Based Deep Convolutional Neural Network
Generalized Kronecker-based Adapters for Parameter-efficient Fine-	tuning	of Vision Transformers
Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter	tuning
Generative AI for Geospatial Analysis: Fine-	tuning	ChatGPT to Convert Natural Language into Python-Based Geospatial Computations
Genetically Fine	tuning	the Hough Transform Feature Space, for the Detection of Circular Objects
GIP: Gated Interaction Prompt for Parameter Efficient Vision-Language Fine-	tuning
global entropy criterion for focus	tuning	in exit wavefunction reconstruction in high resolution electron microscopy, A
Gradient Inversion Attacks on Parameter-Efficient Fine-	tuning
Gradient Projection for Continual Parameter-Efficient	tuning
Gradient-based Parameter Selection for Efficient Fine-	tuning
Graph-Oriented Instruction	tuning	of Large Language Models for Generic Graph Mining
Grid-attention: Enhancing Computational Efficiency of Large Vision Models Without Fine-	tuning
Growing a Brain: Fine-	tuning	by Increasing Model Capacity
Guide-and-rescale: Self-guidance Mechanism for Effective	tuning	-free Real Image Editing
Guided Recommendation for Model Fine-	tuning
Hard-negative Sampling with Cascaded Fine-	tuning	Network to Boost Flare Removal Performance in the Nighttime Images
Hellinger Distance-Based Parameter	tuning	for epsilon-Filter
Heuristic-Based Ensemble Model Selection Strategy with Parameter	tuning	for Optimal Diabetes Mellitus Prediction
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient	tuning
Hierarchical Knowledge Prompt	tuning	for Multi-task Test-Time Adaptation
hierarchical probabilistic underwater image enhancement model with reinforcement	tuning	, A
HiFi-GANw: Watermarked Speech Synthesis via Fine-	tuning	of HiFi-GAN
Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient	tuning
How Does Fine-	tuning	Impact Out-of-Distribution Detection for Vision-Language Models?
Human Motion Instruction	tuning
Human Posture Recognition: Eigenspace	tuning	By A Mean Eigenspace
Human-Following Control Method Based on Adaptive Recurrent PID Controller With Self-	tuning	Filter
hybrid differential evolution algorithm for parameter	tuning	of evolving spiking neural network, A
Hyper-Optimization tools comparison for parameter	tuning	applications
HyperFree: A Channel-adaptive and	tuning	-free Foundation Model for Hyperspectral Remote Sensing Imagery
Hyperparameter	tuning	for big data using Bayesian optimisation
ICIP 2022 Challenge: PEDCMI, TOOD Enhanced by Slicing-Aided Fine-	tuning	and Inference
IDAdapter: Learning Mixed Features for	tuning	-Free Personalization of Text-to-Image Models
Idling Neurons, Appropriately Lenient Workload During Fine-	tuning	Leads to Better Generalization
Image Understanding With Reinforcement Learning: Auto-	tuning	Image Attributes and Model Parameters for Object Detection and Segmentation
Image-free multi-label image recognition via LLM-powered hierarchical prompt	tuning
Improve the Performance of Transfer Learning Without Fine-	tuning	Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images
Improved Baselines with Visual Instruction	tuning
Improved fine-	tuning	of mask-aware transformer for personalized face inpainting with semantic-aware regularization
Improved Visual Fine-	tuning	with Natural Language Supervision
Improvement in range segmentation parameters	tuning
Improving 2d Feature Representations by 3d-aware Fine-	tuning
Improving Agent Behaviors with Rl Fine-	tuning	for Autonomous Driving
Improving CLIP Fine-	tuning	Performance
Improving Generalization of Adversarial Training via Robust Critical Fine-	tuning
Improving Learning of New Diseases Through Knowledge-Enhanced Initialization for Federated Adapter	tuning
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter	tuning
Improving Pre-Training and Fine-	tuning	for Few-Shot SAR Automatic Target Recognition
Improving Transferable Targeted Attacks with Feature	tuning	Mixup
Improving Video Colorization by Test-Time	tuning
In2Out: Fine-	tuning	Video Inpainting Model for Video Outpainting Using Hierarchical Discriminator
Incremental few-shot instance segmentation without fine-	tuning	on novel classes
Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction	tuning
Instance-aware Dynamic Prompt	tuning	for Pre-trained Point Cloud Models
InstaTune: Instantaneous Neural Architecture Search During Fine-	tuning
Instruction	tuning	-free Visual Token Complement for Multimodal LLMs
Intelligent Parameter	tuning	in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine	tuning
InterAug: A	tuning	-Free Augmentation Policy for Data-Efficient and Robust Object Detection
Intersensor Calibration of Spaceborne Passive Microwave Radiometers and Algorithm	tuning	for Long-Term Sea Ice Trend Analysis Based on AMSR-E Observations
Introducing Routing Functions to Vision-language Parameter-efficient Fine-	tuning	with Low-rank Bottlenecks
Inversed Pyramid Network with Spatial-adapted and Task-oriented	tuning	for few-shot learning
Is Right Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction	tuning
Iterative Orientation	tuning	in V1: A Simple Cell Circuit with Cross-Orientation Suppression
Iterative	tuning	of Simple Cells for Contrast Invariant Edge Enhancement
Joint Demosaicking and Denoising by Fine-	tuning	of Bursts of Raw Images
Joint Fine-	tuning	in Deep Neural Networks for Facial Expression Recognition
Kaizen: Practical self-supervised continual learning with continual fine-	tuning
Knowledge Distillation Inspired Fine-	tuning	Of Tucker Decomposed CNNS and Adversarial Robustness Analysis
Knowledge Transferred Fine-	tuning	for Anti-Aliased Convolutional Neural Network in Data-Limited Situation
Knowledge-Aware Prompt	tuning	for Generalizable Vision-Language Models
Label diagnosis through self	tuning	for web image search
Label-Efficient Fine-	tuning	for Remote Sensing Imagery Segmentation with Diffusion Models
Label-Semantic-Based Prompt	tuning	for Vision Transformer Adaptation in Medical Image Analysis
LAPT: Label-driven Automated Prompt	tuning	for OOD Detection with Vision-language Models
LATTECLIP: Unsupervised CLIP Fine-	tuning	via LMM-Synthetic Texts
Layerlink: Bridging remote sensing object detection and large vision models with efficient fine-	tuning
LayoutLLM: Layout Instruction	tuning	with Large Language Models for Document Understanding
Learning a target-dependent classifier for cross-domain semantic segmentation: Fine-	tuning	versus meta-learning
Learning by Correction: Efficient	tuning	Task for Zero-Shot Generative Vision-Language Reasoning
Learning handwriting by evolution: a conceptual framework for performance evaluation and	tuning
Learning Parameter	tuning	for Object Extraction
Learning smooth dendrite morphological neurons for pattern classification using linkage trees and evolutionary-based hyperparameter	tuning
Learning to Adapt: A Method for Automatic	tuning	of Algorithm Parameters
Lego: Learning Egocentric Action Frame Generation via Visual Instruction	tuning
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-	tuning	(PEFT) in Visual Recognition
Lightweight Temporal Contextual Fine-	tuning	Method of Large Multimodal Model for Video Moment Retrieval
Likelihood	tuning	for particle filter in visual tracking
LiT: Zero-Shot Transfer with Locked-Image text	tuning
LL3DA: Visual Interactive Instruction	tuning	for Omni-3D Understanding, Reasoning, and Planning
LLaMA-Excitor: General Instruction	tuning	via Indirect Feature Interaction
LLaVA-SpaceSGG: Visual Instruct	tuning	for Open-Vocabulary Scene Graph Generation with Enhanced Spatial Relations
LMVMamba: A Hybrid U-Shape Mamba for Remote Sensing Segmentation with Adaptation Fine-	tuning
Localized Latent Updates for Fine-	tuning	Vision-Language Models
LoKi: Low-dimensional KAN for Efficient Fine-	tuning	Image Models
LoRA Recycle: Unlocking	tuning	-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
Low-Rank Rescaled Vision Transformer Fine-	tuning	: A Residual Design Approach
Low-Shot Weakly Supervised Object Detection for Remote Sensing Images via Part Domination-Based Active Learning and Enhanced Fine-	tuning
LQF: Linear Quadratic Fine-	tuning
M-	tuning	: Prompt Tuning With Mitigated Label Bias in Open-Set Scenarios
M-	tuning	: Prompt Tuning With Mitigated Label Bias in Open-Set Scenarios
M2IST: Multi-Modal Interactive Side-	tuning	for Efficient Referring Expression Comprehension
MasaCtrl:	tuning	-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Masked Images Are Counterfactual Samples for Robust Fine-	tuning
Medical Knowledge Intervention Prompt	tuning	for Medical Image Classification
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further	tuning
Memory-efficient Fine-	tuning	for Quantized Diffusion Model
Meta-learning for dynamic	tuning	of active learning on stream classification
Meta-Learning Hyperparameters for Parameter Efficient Fine-	tuning
Meta-	tuning	Loss Functions and Data Augmentation for Few-Shot Object Detection
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt	tuning
Method for Crater Detection From Martian Digital Topography Data Using Gradient Value/Orientation, Morphometry, Vote Analysis, Slip	tuning	, and Calibration
Methodology for Automatic Selection of IU Algorithm	tuning	Parameters, A
Minimal Interaction Separated	tuning	: A New Paradigm for Visual Adaptation
MixPHM: Redundancy-Aware Parameter-Efficient	tuning	for Low-Resource Visual Question Answering
Mixture of coarse and fine-grained prompt	tuning	for vision-language model
Mobile User Interface Element Detection Via Adaptively Prompt	tuning
MoCLIP: Motion-Aware Fine-	tuning	and Distillation of CLIP for Human Motion Generation
Modality-Consistent Prompt	tuning	With Optimal Transport
Model-guided contrastive fine-	tuning	for industrial anomaly detection
Modeling of Audiofrequency Track Circuits for Validation,	tuning	, and Conducted Interference Prediction
Modeling Visual-Attention Via Selective	tuning
MoST: Efficient Monarch Sparse	tuning	for 3D Representation Learning
Movie Weaver:	tuning	-Free Multi-Concept Video Personalization with Anchored Prompts
MSCPT: Few-Shot Whole Slide Image Classification With Multi-Scale and Context-Focused Prompt	tuning
Multi-classification of Breast Cancer Histology Images by Using a Fine-	tuning	Strategy
Multi-Exit Vision Transformer with Custom Fine-	tuning	for Fine-Grained Image Recognition
Multi-TuneV: Fine-	tuning	the fusion of multiple modules for video action recognition
Multibiometric People Identification: A Self-	tuning	Architecture
Multilevel Surrogate Model-Based Precipitation Parameter	tuning	Method for CAM5 Using Remote Sensing Data for Validation, A
Multimodal Cell Context Instruction	tuning	for Conditional DNA Regulatory Sequence Generation with Large Language Models
Multimodal Prompt	tuning	for Hyperspectral and LiDAR Classification
Multimodal Side-	tuning	for Document Classification
Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-	tuning
Multiple-Exit	tuning	: Towards Inference-Efficient Adaptation for Vision Transformer
Multiprimitive Segmentation of Planar Curves: A Two-Level Breakpoint Classification and	tuning	Approach
Multitask Vision-Language Prompt	tuning
NASOA: Towards Faster Task-Oriented Online Fine-	tuning	with a Zoo of Models
NetTailor:	tuning	the Architecture, Not Just the Weights
Neuromuscular-System-Based	tuning	of a Haptic Shared Control Interface for UAV Teleoperation
New flexible directional filter bank by	tuning	Hermite transform parameters for content based medical image retrieval
New Survey on Self-	tuning	Integrated Low-Cost GPS/INS Vehicle Navigation System in Harsh Environment, A
New	tuning	model for rectangular windowed FIR filter using fractional Fourier transform
Nonlinear Antiswing Control of Shipboard Boom Cranes Using MPC-Based Auto-	tuning	Mechanism With Full State Constraints
Novel Adaptive Fine-	tuning	Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing, A
Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model	tuning	from Geostationary Satellite Data, A
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt	tuning	in Vision-Language Models
Omniview-	tuning	: Boosting Viewpoint Invariance of Vision-language Pre-training Models
On the Angular Update and Hyperparameter	tuning	of a Scale-Invariant Network
On the Effectiveness of LayerNorm	tuning	for Continual Learning in Vision Transformers
On the Minimum Dataset Requirements for Fine-	tuning	an Object Detector for Arable Crop Plant Counting: A Case Study on Maize Seedlings
On the Suitability of Reinforcement Fine-	tuning	to Visual Tasks
On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-	tuning
Once-	tuning	-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants
Once-	tuning	-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants
One framework to rule them all: Unifying multimodal tasks with LLM neural-	tuning
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient	tuning
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt	tuning
Online parameter	tuning	for object tracking algorithms
Open-Set Face Identification on Few-Shot Gallery by Fine-	tuning
OpenVINO Deep Learning Workbench: Comprehensive Analysis and	tuning	of Neural Networks Inference
Optoacoustic Dermoscopy of the Human Skin:	tuning	Excitation Energy for Optimal Detection Bandwidth With Fast and Deep Imaging in vivo
Osprey: Pixel Understanding with Visual Instruction	tuning
Otter: A Multi-Modal Model With In-Context Instruction	tuning
Outsmarting Biometric Imposters: Enhancing Iris-Recognition System Security through Physical Adversarial Example Generation and PAD Fine-	tuning
Panofree:	tuning	-free Holistic Multi-view Image Generation with Cross-view Self-guidance
Parameter Efficient Fine-	tuning	for Multi-modal Generative Vision Models with Mobius-Inspired Transformation
Parameter Efficient Fine-	tuning	of Self-supervised ViTs without Catastrophic Forgetting
Parameter Efficient Fine-	tuning	via Cross Block Orchestration for Segment Anything Model
Parameter Efficient Mamba	tuning	via Projector-targeted Diagonal-centric Linear Transformation
Parameter	tuning	by Pairwise Preferences
Parameter	tuning	of CLAHE based on multi-objective optimization to achieve different contrast levels in medical images
Parameter	tuning	using the Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests
Parameter-efficient and Memory-efficient	tuning	for Vision Transformer: A Disentangled Approach
Parameter-Efficient Fine-	tuning	for Individual Tree Crown Detection and Species Classification Using UAV-Acquired Imagery
Parameter-efficient Fine-	tuning	in Hyperspherical Space for Open-vocabulary Semantic Segmentation
Parameter-Efficient Fine-	tuning	in Spectral Domain for Point Cloud Learning
Partial-	tuning	Based Mixed-Modal Prototypes for Few-Shot Classification
PATMAT: Person Aware	tuning	of Mask-Aware Transformer for Face inpainting
Performance Impact of Parameter	tuning	on the CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard
Personalized Preference Fine-	tuning	of Diffusion Models
Personalized Restoration via Dual-Pivot	tuning
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-	tuning
Pivotal	tuning	Editing: Towards Disentangled Wrinkle Editing with GANs
PLVM: A	tuning	-Free Approach for Personalized Large Vision-Language Model
Poet: Prompt Offset	tuning	for Continual Human Action Adaptation
Point2Tree(P2T): Framework for Parameter	tuning	of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest
Pre-Trained Model Guided Fine-	tuning	for Zero-Shot Adversarial Robustness
Pro-	tuning	: Unified Prompt Tuning for Vision Tasks
Pro-	tuning	: Unified Prompt Tuning for Vision Tasks
Progressive Learning with Visual Prompt	tuning	for Variable-Rate Image Compression
Project-Probe-Aggregate: Efficient Fine-	tuning	for Group Robustness
Projection onto Epigraph Sets for Rapid Self-	tuning	Compressed Sensing MRI
Prompt	tuning	Inversion for Text-Driven Image Editing Using Diffusion Models
Prompt	tuning	of Deep Neural Networks for Speaker-Adaptive Visual Speech Recognition
Prompt-aligned Gradient for Prompt	tuning
Prompt-Ladder: Memory-efficient prompt	tuning	for vision-language models on edge devices
Prompt-	tuning	SAM: From Generalist to Specialist with Only 2,048 Parameters and 16 Training Images
ProTeCt: Prompt	tuning	for Taxonomic Open Set Classification
Prototype-Based Meta-Prompt	tuning	: Toward Rehearsal-Free Few-Shot Class-Incremental Learning for Multimodal Remote Sensing Image
ProxEdit: Improving	tuning	-Free Real Image Editing with Proximal Guidance
Pseudo-label based unsupervised fine-	tuning	of a monocular 3D pose estimation model for sports motions
PSTF-AttControl: Per-subject-	tuning	-free personalized image generation with controllable face attributes
PT-CapsNet: A Novel Prediction-	tuning	Capsule Network Suitable for Deeper Architectures
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-	tuning	Make a Difference
Quilt-LLaVA: Visual Instruction	tuning	by Extracting Localized Narratives from Open-Source Histopathology Videos
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt	tuning
Rank	tuning	: Cross-Image Partial Tuning Strategies for Rank Optimization in Visual Place Recognition
Real-Time Vision Feedback for Servoing Robotic Manipulator with Self-	tuning	Controller
Reasoning and	tuning	: Graph Attention Network for Occluded Person Re-Identification
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-	tuning
Reflective Instruction	tuning	: Mitigating Hallucinations in Large Vision-language Models
Regularized Mask	tuning	: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Relational Experience Replay: Continual Learning by Adaptively	tuning	Task-Wise Relationship
Relevance	tuning	in content-based retrieval of structurally-modeled images using Particle Swarm Optimization
Relevance Voxel Machine (RVoxM): A Self-	tuning	Bayesian Model for Informative Image-Based Prediction, The
Rethinking Token Reduction with Parameter-Efficient Fine-	tuning	in ViT for Pixel-Level Tasks
Reward Fine-	tuning	Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
RMPT: Retrieval-based multimodal prompt	tuning	for event detection
Robust Depth Enhancement via Polarization Prompt Fusion	tuning
Robust fine-	tuning	of zero-shot models
Robust Frequency Domain Audio Watermarking: A	tuning	Analysis
Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-	tuning	With Customized PolyLoss
Robust Stage-Wise LVLM Adaptation: Multi-Phase Prompt Lora Fine-	tuning	for Compound Expression Recognition
Robust Visual Reinforcement Learning by Prompt	tuning
Robustness Against Gradient based Attacks through Cost Effective Network Fine-	tuning
Robustness Preserving Fine-	tuning	Using Neuron Importance
RoomTour3D: Geometry-Aware Video-Instruction	tuning	for Embodied Navigation
RotCLIP:	tuning	CLIP with Visual Adapter and Textual Prompts for Rotation Robust Remote Sensing Image Classification
R^1-	tuning	: Efficient Image-to-video Transfer Learning for Video Temporal Grounding
Saft: Towards Out-of-distribution Generalization in Fine-	tuning
SAM-FDN: A SAM Fine-	tuning	Adaptation Remote Sensing Change Detection Method Based on Fourier Frequency Domain Analysis Difference Reinforcement
SAR-HUB: Pre-Training, Fine-	tuning	, and Explaining
Scattering Prompt	tuning	: A Fine-tuned Foundation Model for SAR Object Recognition
Scene Map-based Prompt	tuning	for Navigation Instruction Generation
SCoFT: Self-Contrastive Fine-	tuning	for Equitable Image Generation
SCT: A Simple Baseline for Parameter-Efficient Fine-	tuning	via Salient Channels
SDPT: Synchronous Dual Prompt	tuning	for Fusion-based Visual-language Pre-trained Models
Segment Any Object Model (SAOM): Real-To-Simulation Fine-	tuning	Strategy For Multi-Class Multi-Instance Segmentation
Self-Supervised Learning With Data-Efficient Supervised Fine-	tuning	for Crowd Counting
Self-	tuning	density estimation based on Bayesian averaging of adaptive kernel density estimations yields state-of-the-art performance
Self-	tuning	Dual-Layer Sliding Mode Control of Electromagnetic Suspension System
Self-	tuning	fast adaptive algorithm for impulsive noise suppression in color images
Self-	tuning	People Identification System from Split Face Components, A
Semantic Mapping of Landscape Morphologies:	tuning	ML/DL Classification Approaches for Airborne LiDAR Data
Semantic-guided Robustness	tuning	for Few-shot Transfer Across Extreme Domain Shift
Semantically-Shifted Incremental Adapter-	tuning	is A Continual ViTransformer
Semi-supervised Fine-	tuning	for Deep Learning Models in Remote Sensing Applications
Semi-supervised	tuning	from temporal coherence
Sensitivity-Aware Efficient Fine-	tuning	via Compact Dynamic-Rank Adaptation
SFRADNet: Object Detection Network with Angle Fine-	tuning	Under Feature Matching
Shape Similarity Analysis by Self-	tuning	Locally Constrained Mixed-Diffusion
Sheared Backpropagation for Fine-	tuning	Foundation Models
Show, Think, and Tell: Thought-Augmented Fine-	tuning	of Large Language Models for Video Captioning
Side-	tuning	: A Baseline for Network Adaptation via Additive Side Networks
SILT: Shadow-aware Iterative Label	tuning	for Learning to Detect Shadows from Noisy Labels
simple terrain relief index for	tuning	slope-related parameters of LiDAR ground filtering algorithms, A
Simple Yet Effective Fine-	tuning	of Deep CNNs Using an Auxiliary Classification Loss for Remote Sensing Scene Classification
Simultaneous filter	tuning	and calibration of the camera and inertial measurement unit camera for a vision inertial navigation system
Skip	tuning	: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
SkyEyeGPT: Unifying remote sensing vision-language tasks via instruction	tuning	with large language model
SleeperMark: Towards Robust Watermark against Fine-	tuning	Text-to-image Diffusion Models
Slicing Aided Hyper Inference and Fine-	tuning	for Small Object Detection
SMMP: A Stable-Membership-Based Auto-	tuning	Multi-Peak Clustering Algorithm
Sparsity Fine	tuning	in Wavelet Domain With Application to Compressive Image Reconstruction
Spatial Reference Frames for Object Recognition	tuning	for Rotations in Depth
Spatiality-Aware Prompt	tuning	for Few-Shot Small Object Detection
Spatio-temporal side	tuning	pre-trained foundation models for video-based pedestrian attribute recognition
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-	tuning	of Text-to-Image Diffusion Models to Learn Any Unseen Style
Speech Watermarking Method Based on Formant	tuning
SPFTN: A Self-Paced Fine-	tuning	Network for Segmenting Objects in Weakly Labelled Videos
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-	tuning	with Mixture of Experts for Scalable Visual Tracking
SpotTune: Transfer Learning Through Adaptive Fine-	tuning
Statistical	tuning	of Adaptive-Weight Depth Map Algorithm
Steering Prototypes with Prompt-	tuning	for Rehearsal-free Continual Learning
Step-Wise Distribution-Aligned Style Prompt	tuning	for Source-Free Cross-Domain Few-Shot Learning
Stitching, Fine-	tuning	, and Re-Training: A SAM-Enabled Framework for Semi-Supervised 3D Medical Image Segmentation
STNet: Selective	tuning	of Convolutional Networks for Object Localization
stochastic optimization approach for parameter	tuning	of support vector machines, A
SVDiff: Compact Parameter Space for Diffusion Fine-	tuning
TA-MSA: A Fine-	tuning	Framework for Few-Shot Remote Sensing Scene Classification
TAML-Adapter: Enhancing Adapter	tuning	Through Task-Agnostic Meta-Learning for Low-Resource Automatic Speech Recognition
TAMT: Temporal-Aware Model	tuning	for Cross-Domain Few-Shot Action Recognition
Tangent Model Composition for Ensembling and Continual Fine-	tuning
TAPT: Test-Time Adversarial Prompt	tuning	for Robust Inference in Vision-Language Models
Task Residual for	tuning	Vision-Language Models
Task-Specific Fine-	tuning	via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
TCP: Textual-Based Class-Aware Prompt	tuning	for Visual-Language Model
Temporally Language Grounding With Multi-Modal Multi-Prompt	tuning
Test-Time Fine-	tuning	of Image Compression Models for Multi-Task Adaptability
Test-Time Visual In-Context	tuning
Text-Centric multimodal sentiment analysis with asymmetric fine-	tuning
Texts as Images in Prompt	tuning	for Multi-Label Image Recognition
Third-Order Kalman Filter:	tuning	and Steady-State Performance
Threshold Auto-	tuning	Metric Learning
Threshold	tuning	of Switching Median Filter Employing Distribution Distance
Thyroid nodules classification and diagnosis in ultrasound images using fine-	tuning	deep convolutional neural network
Time to Shine: Fine-	tuning	Object Detection Models with Synthetic Adverse Weather Images
Token Compensator: Altering Inference Cost of Vision Transformer Without Re-	tuning
Tool for automatic	tuning	of binarisation techniques
Tool for	tuning	Binarization Techniques, A
Top-	tuning	: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods
Top-	tuning	: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods
Trainable Projected Gradient Method for Robust Fine-	tuning
TrivialAugment:	tuning	-free Yet State-of-the-Art Data Augmentation
Trunk Pruning: Highly Compatible Channel Pruning for Convolutional Neural Networks Without Fine-	tuning
Tune-A-Video: One-Shot	tuning	of Image Diffusion Models for Text-to-Video Generation
Tunevlseg: Prompt	tuning	Benchmark for Vision-language Segmentation Models
	tuning	Asymboost Cascades Improves Face Detection
	tuning	between Exponential Functions and Zones for Membership Functions Selection in Voronoi-Based Zoning for Handwritten Character Recognition
	tuning	cost and performance in multi-biometric systems: A novel and consistent view of fusion strategies based on the Sequential Probability Ratio Test (SPRT)
	tuning	fork artifact in computerized tomography, The
	tuning	IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB
	tuning	JPEG2000 image compression for graphics regions
	tuning	Large Language Model for Speech Recognition With Mixed-Scale Re-Tokenization
	tuning	Modular Networks with Weighted Losses for Hand-Eye Coordination
	tuning	Neural ODE Networks to Increase Adversarial Robustness in Image Forensics
	tuning	of Adaptive Weight Depth Map Generation Algorithms
	tuning	of the hyperparameters for L2-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique
	tuning	Parameter Selection for Underdetermined Reduced-Rank Regression
	tuning	Pre-trained Model via Moment Probing
	tuning	Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
	tuning	Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
	tuning	Support Vector Machines for Minimax and Neyman-Pearson Classification
	tuning	the Frequencies: Robust Training for Sinusoidal Neural Networks
	tuning	the locality of filtering with a spatially weighted implementation of random spray Retinex
	tuning	topical queries for effective information retrieval
	tuning	Vision-Language Models With Multiple Prototypes Clustering
	tuning	-Free High-Resolution Video Diffusion With Spatial-Temporal Latent Grouping
	tuning	-Free Image Customization with Image and Text Guidance
	tuning	-Free Online Robust Principal Component Analysis Through Implicit Regularization
TWINS: A Fine-	tuning	Framework for Improved Transferability of Adversarial Robustness and Generalization
Two-Stage Fine-	tuning	of Large Vision-Language Models with Hierarchical Prompting for Few-Shot Object Detection in Remote Sensing Images
Ump: Unified Modality-Aware Prompt	tuning	for Text-Video Retrieval
Understanding and Mitigating Overfitting in Prompt	tuning	for Vision-Language Models
Understanding Fine-	tuning	CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space
Unified Continual Learning Framework with General Parameter-Efficient	tuning	, A
Unified Data-Free Compression: Pruning and Quantization without Fine-	tuning
Uniformity Preserving Transfer for Visual Prompt	tuning	under Long-tailed Distribution
UniPT: Universal Parallel	tuning	for Transfer Learning with Efficient Parameter and Memory
Unlocking the Potential of Prompt-	tuning	in Bridging Generalized and Personalized Federated Learning
unsupervised fine-	tuning	strategy for low-light image enhancement, An
Unsupervised Prompt	tuning	for Text-Driven Object Detection
Unsupervised Video Object Segmentation with Online Adversarial Self-	tuning
URSimulator: Human-perception-driven prompt	tuning	for enhanced virtual urban renewal via diffusion models
Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-	tuning
Vehicle detection of multi-source remote sensing data using active fine-	tuning	network
Video Annotation by Active Learning and Cluster	tuning
Video Frame Interpolation via Cyclic Fine-	tuning	and Asymmetric Reverse Flow
Visual Instruction	tuning	towards General-Purpose Multimodal Large Language Model: A Survey
Visual Prompt	tuning
Visual Prompt	tuning	for Generative Transfer Learning
Visual Query	tuning	: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
Visual tracking via incremental self-	tuning	particle filtering on the affine group
Visual	tuning
Visual-Language Prompt	tuning	with Knowledge-Guided Context Optimization
VL-PET: Vision-and-Language Parameter-Efficient	tuning	via Granularity Control
VladVA: Discriminative Fine-	tuning	of LVLMs
VLPose: Bridging the Domain Gap in Pose Estimation With Language-Vision	tuning
VoP: Text-Video Co-Operative Prompt	tuning	for Cross-Modal Retrieval
When Adversarial Training Meets Prompt	tuning	: Adversarial Dual Prompt Tuning for Unsupervised Domain Adaptation
When Adversarial Training Meets Prompt	tuning	: Adversarial Dual Prompt Tuning for Unsupervised Domain Adaptation
Why Is Prompt	tuning	for Vision-Language Models Robust to Noisy Labels?
À-la-carte Prompt	tuning	(APT): Combining Distinct Data Via Composable Prompting

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