| _ | tuning | _ |
|---|
| Active Fine- | tuning | From gMAD Examples Improves Blind Image Quality Assessment |
| Adapting Shortcut with Normalizing Flow: An Efficient | tuning | Framework for Visual Recognition |
| 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 |
| Adversarial Robustness: From Self-Supervised Pre-Training to Fine- | tuning | |
| 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 |
| AlignDet: Aligning Pre-training and Fine- | tuning | in Object Detection |
| Alleviating Representational Shift for Continual Fine- | tuning | |
| Application of Evolutionary Computation for Berth Scheduling at Marine Container Terminals: Parameter | tuning | Versus Parameter Control |
| Atten-Adapter: A Unified Attention-Based Adapter for Efficient | tuning | |
| 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 |
| Best Practices for Fine- | tuning | Visual Classifiers to New Domains |
| 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 | |
| Bridging Vision and Language Encoders: Parameter-Efficient | tuning | for Referring Image Segmentation |
| 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 |
| CLIP goes 3D: Leveraging Prompt | tuning | for Language Grounded 3D Recognition |
| 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 |
| Coding Gain and | tuning | for Parametrized Visual Quality Metrics |
| COFT-AD: COntrastive Fine- | tuning | for Few-Shot Anomaly Detection |
| Comparison of Fine- | tuning | and Extension Strategies for Deep Convolutional Neural Networks |
| 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 | |
| Concept-wise Fine- | tuning | Matters in Preventing Negative Transfer |
| Conditioned and composed image retrieval combining and partially fine- | tuning | CLIP-based features |
| 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 |
| Cost-effective Method for Improving and Re-purposing Large, Pre-trained GANs by Fine- | tuning | Their Class-embeddings, A |
| Curiosity Guided Fine- | tuning | for Encoder-Decoder-Based Visual Forecasting |
| D-LSM: Deep Liquid State Machine with unsupervised recurrent reservoir | tuning | |
| Data-Free Quantization via Mixed-Precision Compensation without Fine- | tuning | |
| 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 |
| Design of Self- | tuning | IU Systems |
| 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 | |
| Diffusion filtering without parameter | tuning | : Models and inference tools |
| 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 |
| Diverse Data Augmentation with Diffusions for Effective Test-time Prompt | tuning | |
| DLCFT: Deep Linear Continual Fine- | tuning | for General Incremental Learning |
| Document binarization with automatic parameter | tuning | |
| DP-k-modes: A self- | tuning | k-modes clustering algorithm |
| DR-Tune: Improving Fine- | tuning | of Pretrained Visual Models by Distribution Regularization with Semantic Calibration |
| DreamBooth: Fine | tuning | Text-to-Image Diffusion Models for Subject-Driven Generation |
| DSP-Oriented Low Level Processing for Adaptive | tuning | of Video Surveillance Images |
| Dual Modality Prompt | tuning | for Vision-Language Pre-Trained Model |
| Dual- | tuning | : Joint Prototype Transfer and Structure Regularization for Compatible Feature 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 | |
| Effect of layer-wise fine- | tuning | in magnification-dependent classification of breast cancer histopathological image |
| Efficient document image binarization using heterogeneous computing and parameter | tuning | |
| 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 | |
| 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 the Transferability of Adversarial Attacks through Variance | tuning | |
| Ensemble Knowledge Guided Sub-network Search and Fine- | tuning | for Filter Pruning |
| 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 |
| Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine- | tuning | |
| Extreme Weather Recognition Using a Novel Fine- | tuning | Strategy and Optimized GoogLeNet |
| Factorized Convolutional Networks: Unsupervised Fine- | tuning | for Image Clustering |
| FAOT-Net: A 1.5-Stage Framework for 3D Pelvic Lymph Node Detection With Online Candidate | tuning | |
| Fast Self- | tuning | Background Subtraction Algorithm, A |
| Feature fine- | tuning | and attribute representation transformation for zero-shot learning |
| Few-Shot Object Detection on Remote Sensing Images via Shared Attention Module and Balanced Fine- | tuning | Strategy |
| 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 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 | JPEG-XT compression performance using large-scale objective quality testing |
| 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 |
| 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 |
| Genetically Fine | tuning | the Hough Transform Feature Space, for the Detection of Circular Objects |
| global entropy criterion for focus | tuning | in exit wavefunction reconstruction in high resolution electron microscopy, A |
| Growing a Brain: Fine- | tuning | by Increasing Model Capacity |
| 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 |
| hierarchical probabilistic underwater image enhancement model with reinforcement | tuning | , A |
| 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 Posture Recognition: Eigenspace | tuning | By A Mean Eigenspace |
| hybrid differential evolution algorithm for parameter | tuning | of evolving spiking neural network, A |
| Hyper-Optimization tools comparison for parameter | tuning | applications |
| Hyperparameter | tuning | for big data using Bayesian optimisation |
| ICIP 2022 Challenge: PEDCMI, TOOD Enhanced by Slicing-Aided Fine- | tuning | and Inference |
| Image Understanding With Reinforcement Learning: Auto- | tuning | Image Attributes and Model Parameters for Object Detection and Segmentation |
| Improve the Performance of Transfer Learning Without Fine- | tuning | Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images |
| Improved Visual Fine- | tuning | with Natural Language Supervision |
| Improvement in range segmentation parameters | tuning | |
| Improving CLIP Fine- | tuning | Performance |
| Improving Generalization of Adversarial Training via Robust Critical Fine- | 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 Video Colorization by Test-Time | tuning | |
| Instance-aware Dynamic Prompt | tuning | for Pre-trained Point Cloud Models |
| InstaTune: Instantaneous Neural Architecture Search During Fine- | tuning | |
| 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 |
| 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 |
| 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 |
| Learning a target-dependent classifier for cross-domain semantic segmentation: Fine- | tuning | versus meta-learning |
| 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 |
| Likelihood | tuning | for particle filter in visual tracking |
| LiT: Zero-Shot Transfer with Locked-Image text | tuning | |
| Localized Latent Updates for Fine- | tuning | Vision-Language Models |
| LQF: Linear Quadratic Fine- | tuning | |
| MasaCtrl: | tuning | -Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing |
| Masked Images Are Counterfactual Samples for Robust Fine- | tuning | |
| Meta-learning for dynamic | tuning | of active learning on stream classification |
| Meta- | tuning | Loss Functions and Data Augmentation for Few-Shot Object Detection |
| 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 |
| MixPHM: Redundancy-Aware Parameter-Efficient | tuning | for Low-Resource Visual Question Answering |
| Mobile User Interface Element Detection Via Adaptively Prompt | tuning | |
| Modeling of Audiofrequency Track Circuits for Validation, | tuning | , and Conducted Interference Prediction |
| Modeling Visual-Attention Via Selective | 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 |
| Multibiometric People Identification: A Self- | tuning | Architecture |
| Multimodal Side- | tuning | for Document Classification |
| Multiple curvature based approach to human upper body parts detection with connected ellipse model fine- | tuning | |
| Multiprimitive Segmentation of Planar Curves: A Two-Level Breakpoint Classification and | tuning | Approach |
| 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 |
| Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model | tuning | from Geostationary Satellite Data, A |
| 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-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine- | 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 |
| 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 |
| 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 |
| Point2Tree(P2T): Framework for Parameter | tuning | of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest |
| Projection onto Epigraph Sets for Rapid Self- | tuning | Compressed Sensing MRI |
| Prompt | tuning | Inversion for Text-Driven Image Editing Using Diffusion Models |
| Prompt-aligned Gradient for Prompt | tuning | |
| 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 |
| Real-Time Vision Feedback for Servoing Robotic Manipulator with Self- | tuning | Controller |
| Reasoning and | tuning | : Graph Attention Network for Occluded Person Re-Identification |
| Regularized Mask | tuning | : Uncovering Hidden Knowledge in Pre-trained Vision-Language Models |
| 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 |
| 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 |
| Robustness Against Gradient based Attacks through Cost Effective Network Fine- | tuning | |
| SAR-HUB: Pre-Training, Fine- | tuning | , and Explaining |
| SCT: A Simple Baseline for Parameter-Efficient Fine- | tuning | via Salient Channels |
| 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 | fast adaptive algorithm for impulsive noise suppression in color images |
| Self- | tuning | People Identification System from Split Face Components, A |
| Semi-supervised Fine- | tuning | for Deep Learning Models in Remote Sensing Applications |
| Semi-supervised | tuning | from temporal coherence |
| Shape Similarity Analysis by Self- | tuning | Locally Constrained Mixed-Diffusion |
| 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 |
| 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 |
| 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 |
| SpotTune: Transfer Learning Through Adaptive Fine- | tuning | |
| Statistical | tuning | of Adaptive-Weight Depth Map Algorithm |
| 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 | |
| Tangent Model Composition for Ensembling and Continual Fine- | tuning | |
| Task Residual for | tuning | Vision-Language Models |
| Task-Specific Fine- | tuning | via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification |
| Temporally Language Grounding With Multi-Modal Multi-Prompt | 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 |
| 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 |
| 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 | 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 | Support Vector Machines for Minimax and Neyman-Pearson Classification |
| tuning | the locality of filtering with a spatially weighted implementation of random spray Retinex |
| tuning | topical queries for effective information retrieval |
| TWINS: A Fine- | tuning | Framework for Improved Transferability of Adversarial Robustness and Generalization |
| Understanding and Mitigating Overfitting in Prompt | tuning | for Vision-Language Models |
| Unified Continual Learning Framework with General Parameter-Efficient | tuning | , A |
| Unified Data-Free Compression: Pruning and Quantization without Fine- | tuning | |
| Unsupervised Prompt | tuning | for Text-Driven Object Detection |
| Unsupervised Video Object Segmentation with Online Adversarial Self- | tuning | |
| 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 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-Language Prompt | tuning | with Knowledge-Guided Context Optimization |
| VL-PET: Vision-and-Language Parameter-Efficient | tuning | via Granularity Control |
| VoP: Text-Video Co-Operative Prompt | tuning | for Cross-Modal Retrieval |
| Why Is Prompt | tuning | for Vision-Language Models Robust to Noisy Labels? |
| À-la-carte Prompt | tuning | (APT): Combining Distinct Data Via Composable Prompting |
290 for tuning