VIPriors21
* *Visual Inductive Priors for Data-Efficient Deep Learning
* Deep Manifold Prior
* Few-shot Learning with Online Self-Distillation
* How to Transform Kernels for Scale-Convolutions
* LSD-C: Linearly Separable Deep Clusters
* Multimodal Continuous Visual Attention Mechanisms
* Predictive Coding with Topographic Variational Autoencoders
* Relational Prior for Multi-Object Tracking
* ScatSimCLR: Self-Supervised Contrastive Learning with Pretext Task Regularization for Small-Scale Datasets
* Self-supervised Visual Attribute Learning for Fashion Compatibility
* Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
11 for VIPriors21
VIPriors22
* *Visual Inductive Priors for Data-Efficient Deep Learning
* Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition
* C-3PO: Towards Rotation Equivariant Feature Detection and Description
* Diversified Dynamic Routing for Vision Tasks
* Skdcgn: Source-free Knowledge Distillation of Counterfactual Generative Networks Using cgans
* Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling
* Zero-shot Image Enhancement with Renovated Laplacian Pyramid
7 for VIPriors22
VIPriors23
* *Visual Inductive Priors for Data-Efficient Deep Learning
* COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification
* Data Efficient Single Image Dehazing via Adversarial Auto-Augmentation and extended Atmospheric Scattering Model
* DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets
* DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning
* Distilling Part-whole Hierarchical Knowledge from a Huge Pretrained Class Agnostic Segmentation Framework
* Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks
* Good Fences Make Good Neighbours
* InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection
* No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
* Padding Aware Neurons
* PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition
* RV-VAE: Integrating Random Variable Algebra into Variational Autoencoders
* Using and Abusing Equivariance
* Video BagNet: short temporal receptive fields increase robustness in long-term action recognition
15 for VIPriors23