The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
☆668Nov 22, 2022Updated 3 years ago
Alternatives and similar repositories for BBN
Users that are interested in BBN are comparing it to the libraries listed below
Sorting:
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆974Oct 12, 2021Updated 4 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆698Dec 25, 2021Updated 4 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆869Jul 16, 2022Updated 3 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆571Jan 6, 2026Updated 2 months ago
- A curated list of long-tailed recognition resources.☆584Jun 13, 2023Updated 2 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆273Apr 8, 2023Updated 2 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆616Aug 29, 2021Updated 4 years ago
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆118Nov 23, 2021Updated 4 years ago
- The official implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2. https://arxiv.org/a…☆202Oct 3, 2023Updated 2 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆356Jun 22, 2022Updated 3 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆373Jul 14, 2022Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆761Apr 3, 2021Updated 4 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆806Feb 18, 2024Updated 2 years ago
- ResNeSt: Split-Attention Networks☆3,264Dec 9, 2022Updated 3 years ago
- [NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition☆145Nov 22, 2021Updated 4 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆701Dec 24, 2021Updated 4 years ago
- Official Pytorch implementation of CutMix regularizer☆1,245Sep 16, 2020Updated 5 years ago
- [ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution☆159Oct 4, 2022Updated 3 years ago
- ☆296Nov 20, 2020Updated 5 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Nov 8, 2021Updated 4 years ago
- 1st place models in Google OpenImage Detection Challenge 2019☆457Apr 4, 2021Updated 4 years ago
- ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)☆61Nov 7, 2023Updated 2 years ago
- Destruction and Construction Learning for Fine-grained Image Recognition☆593Jun 10, 2020Updated 5 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆478Dec 10, 2024Updated last year
- Instance-Batch Normalization Networks (ECCV2018)☆807Jul 4, 2023Updated 2 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆153Nov 10, 2021Updated 4 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,116Feb 3, 2026Updated last month
- Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020☆1,087Mar 17, 2021Updated 4 years ago
- Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥☆1,183Jan 25, 2021Updated 5 years ago
- [NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"☆77Nov 21, 2020Updated 5 years ago
- ☆173Aug 7, 2020Updated 5 years ago
- An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.☆593Apr 23, 2021Updated 4 years ago
- FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)☆673Nov 30, 2019Updated 6 years ago
- Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'☆884Feb 23, 2022Updated 4 years ago
- [ICML2021] What Makes for End-to-End Object Detection☆645Apr 30, 2023Updated 2 years ago
- code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)☆270Oct 3, 2023Updated 2 years ago
- ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks☆847Feb 10, 2023Updated 3 years ago
- Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020☆613Nov 24, 2020Updated 5 years ago
- DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution☆1,149Dec 14, 2021Updated 4 years ago