This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition (NeurIPS 2022).
☆165Oct 4, 2022Updated 3 years ago
Alternatives and similar repositories for SADE-AgnosticLT
Users that are interested in SADE-AgnosticLT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository is the official Pytorch implementation of Balanced Product of Calibrated Experts for Long-Tailed Recognition (CVPR 2023).☆18Mar 13, 2025Updated last year
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆272Apr 8, 2023Updated 3 years ago
- ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)☆62Nov 7, 2023Updated 2 years ago
- This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 202…☆105Aug 22, 2022Updated 3 years ago
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition☆69Oct 1, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at C…☆87May 25, 2024Updated 2 years ago
- A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).☆1,025Nov 25, 2025Updated 7 months ago
- A curated list of long-tailed recognition resources.☆580Jun 13, 2023Updated 3 years ago
- Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)☆259Jun 11, 2026Updated last month
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆701Dec 25, 2021Updated 4 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆153Nov 10, 2021Updated 4 years ago
- ☆14Dec 28, 2023Updated 2 years ago
- ☆59Feb 20, 2022Updated 4 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆572Jan 6, 2026Updated 6 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆980Oct 12, 2021Updated 4 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Jan 2, 2022Updated 4 years ago
- CVPR 2022 - official implementation for "Long-Tailed Recognition via Weight Balancing" https://arxiv.org/abs/2203.14197☆130Nov 30, 2024Updated last year
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆30Oct 26, 2024Updated last year
- 🔥[ECCV 2024, Oral, Official] LTRL: Boosting Long-tail Recognition via Reflective Learning☆16Sep 23, 2024Updated last year
- Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight☆38Feb 2, 2021Updated 5 years ago
- [NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"☆78Nov 21, 2020Updated 5 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆874Jul 16, 2022Updated 3 years ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆117Sep 7, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆118Nov 23, 2021Updated 4 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Dec 11, 2022Updated 3 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆666Nov 22, 2022Updated 3 years ago
- Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”☆113Oct 31, 2022Updated 3 years ago
- ☆57Apr 3, 2023Updated 3 years ago
- ☆49Feb 10, 2023Updated 3 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆126Jan 6, 2026Updated 6 months ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆27Apr 6, 2021Updated 5 years ago
- [ICCV 2023] Subclass-balancing contrastive learning for long-tailed recognition☆18Oct 30, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆103Aug 14, 2023Updated 2 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆577Sep 14, 2020Updated 5 years ago
- ☆492Oct 12, 2024Updated last year
- Implement Code for UniMix and Bayias Compensated Loss☆19Mar 7, 2023Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆756Apr 3, 2021Updated 5 years ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆46May 19, 2025Updated last year
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Oct 12, 2022Updated 3 years ago