liuluyeah / Pytorch-Multi-Task-Multi-class-ClassificationLinks
旨在搭建一个分类问题在Pytorch框架下的通解，批量解决单任务多分类问题、多任务多分类问题。
☆20Updated 5 years ago
Alternatives and similar repositories for Pytorch-Multi-Task-Multi-class-Classification
Users that are interested in Pytorch-Multi-Task-Multi-class-Classification are comparing it to the libraries listed below
Sorting:
- ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)☆132Updated 3 years ago
- Ranking-based-Instance-Selection☆33Updated 4 years ago
- 旨在搭建一个分类问题在Pytorch框架下的通解，批量解决单任务多分类问题、多任务多分类问题。☆56Updated 5 years ago
- Implementation for Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification☆55Updated 3 years ago
- [Re-implementation] Improving Pairwise Ranking for Multi-label Image Classification (CVPR2017)☆20Updated 5 years ago
- Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021☆47Updated 3 years ago
- KSSNet: Multi-Label Classification with Label Graph Superimposing☆60Updated 5 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆90Updated 5 years ago
- This is an official implementation of video classification for our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Atten…☆12Updated 4 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆101Updated last year
- A Strong Baseline with Many Tricks for Image Classification☆47Updated 2 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Updated 4 years ago
- [CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)☆133Updated 3 years ago
- A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective☆77Updated 4 years ago
- PyTorch implementation of Deep Semantic Dictionary Learning for Multi-label Image Classification, AAAI 2021.☆49Updated 3 years ago
- Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)☆62Updated last year
- Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code☆32Updated 4 years ago
- Focal loss for multiple class classification☆83Updated 4 years ago
- paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code☆78Updated 3 years ago
- ☆28Updated 2 years ago
- ☆43Updated 4 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆52Updated 4 years ago
- 本项目是 Deep Long-Tailed Learning: A Survey 文章的中译版☆53Updated 2 years ago
- Pytorch code for our work: Learning Label Correlations for Multi-Label Image Recognition with Graph Networks☆13Updated 4 years ago
- Paper implementation☆40Updated 6 years ago
- Published in CVPR 2020; matlab codes☆22Updated 11 months ago
- Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval☆64Updated 2 years ago
- Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight☆38Updated 4 years ago
- Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.☆55Updated 5 years ago