lorenmt / mtanLinks
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
☆724Updated 3 years ago
Alternatives and similar repositories for mtan
Users that are interested in mtan are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆831Updated 3 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆557Updated 3 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆868Updated 5 years ago
- A list of multi-task learning papers and projects.☆381Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 2 years ago
- ☆148Updated 3 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 4 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 4 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,049Updated last year
- Implementing Attention Augmented Convolutional Networks using Pytorch☆655Updated 3 years ago
- A PyTorch Implementation of Focal Loss.☆987Updated 6 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆687Updated 3 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆756Updated 4 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆758Updated 4 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆639Updated 5 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- mixup: Beyond Empirical Risk Minimization☆1,192Updated 4 years ago
- Implementation of the mixup training method☆467Updated 7 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆340Updated 6 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated last year
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆450Updated 2 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,330Updated 4 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆571Updated last year
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Updated 3 years ago
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,110Updated 2 years ago
- a pytorch code about Residual Attention Network. This code is based on two projects from☆684Updated 6 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago