zxhuang1698 / interpretability-by-parts
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
☆130Updated 4 years ago
Alternatives and similar repositories for interpretability-by-parts:
Users that are interested in interpretability-by-parts are comparing it to the libraries listed below
- ☆86Updated 4 years ago
- (CVPR 2020) Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition☆41Updated 3 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- Look-into-Object: Self-supervised Structure Modeling for Object Recognition (CVPR 2020)☆114Updated 9 months ago
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆196Updated 5 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆82Updated 3 years ago
- PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Cl…☆170Updated 3 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 4 years ago
- Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)☆60Updated last year
- Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)☆139Updated 3 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Updated 3 years ago
- [CVPR 2019] Pytorch implementation for "Towards Universal Object Detection by Domain Attention."☆75Updated last year
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆118Updated 3 years ago
- [NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition☆140Updated 3 years ago
- Reimplementation of Mutual-Channel Loss for Fine-Grained Image Classification.☆37Updated 4 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆96Updated 5 years ago
- pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes☆25Updated 4 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆64Updated 7 years ago
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆127Updated 3 years ago
- Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification☆95Updated 5 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 5 years ago
- Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.☆105Updated 4 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆86Updated last year
- This is a pytorch version for Non-local Neural Networks(onging)☆27Updated 5 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 5 years ago
- ☆25Updated last year
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆164Updated 6 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆218Updated 3 years ago
- An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.☆66Updated 5 years ago
- self-supervised domain adaptation☆49Updated 5 years ago