megvii-research / BBN
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
☆662Updated last year
Related projects ⓘ
Alternatives and complementary repositories for BBN
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆561Updated 2 months ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆945Updated 3 years ago
- A curated list of long-tailed recognition resources.☆583Updated last year
- An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.☆583Updated 3 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆455Updated 4 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆362Updated 2 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆647Updated 2 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆849Updated 2 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆601Updated 3 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆474Updated 2 years ago
- Implementation of the mixup training method☆464Updated 6 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆351Updated 2 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆784Updated 8 months ago
- The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.☆618Updated 5 years ago
- Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019☆394Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆736Updated 3 years ago
- MS-Loss: Multi-Similarity Loss for Deep Metric Learning☆492Updated last year
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆444Updated last year
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆262Updated last year
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆580Updated last year
- A PyTorch implementation of WS-DAN (Weakly Supervised Data Augmentation Network) for FGVC (Fine-Grained Visual Classification)☆405Updated 4 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆749Updated 3 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆576Updated last year
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆336Updated 6 years ago
- Deep Metric Learning☆778Updated 4 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆572Updated 4 years ago
- The official implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2. https://arxiv.org/a…☆202Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆628Updated last year
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆332Updated 3 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆251Updated 6 years ago