facebookresearch / astmtLinks
Attentive Single-tasking of Multiple Tasks
☆84Updated 6 years ago
Alternatives and similar repositories for astmt
Users that are interested in astmt are comparing it to the libraries listed below
Sorting:
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆77Updated 4 years ago
- ☆88Updated 5 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)☆140Updated 4 years ago
- MoEx (Moment Exchange)☆141Updated 4 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆109Updated 6 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 5 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- sidetuning.berkeley.edu☆71Updated 2 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆74Updated 3 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"☆59Updated 4 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- ☆57Updated 2 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- Code for Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach☆72Updated 5 years ago
- ☆171Updated 4 years ago
- ☆24Updated 3 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019☆60Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 4 years ago
- code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"☆27Updated 2 years ago
- Implementation of momentum^2 teacher☆121Updated 4 years ago
- Video Noise Contrastive Estimation☆66Updated last year
- ☆49Updated 5 years ago
- Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18☆68Updated 4 years ago
- Model, selected at random, from the training set of the paper "Taskonomy: Disentangling Task Transfer Learning"☆50Updated 7 years ago
- Deep Feature Factorization☆57Updated 5 years ago