yukimasano / single-img-extrapolatingLinks
Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
☆37Updated last year
Alternatives and similar repositories for single-img-extrapolating
Users that are interested in single-img-extrapolating are comparing it to the libraries listed below
Sorting:
- ☆85Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- ☆36Updated 2 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- Official Implementation for PlugIn Inversion☆16Updated 3 years ago
- PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)☆99Updated 3 years ago
- ☆58Updated 2 years ago
- ☆46Updated 3 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆42Updated 4 years ago
- [ICLR 2022]: Fast AdvProp☆35Updated 3 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- Bag of Instances Aggregation Boosts Self-supervised Distillation (ICLR 2022)☆33Updated 3 years ago
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago
- This is a public repository for:☆39Updated 4 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆120Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- ☆57Updated 4 years ago
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Updated 2 years ago
- Rethinking Nearest Neighbors for Visual Classification☆31Updated 3 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022☆39Updated 2 years ago