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