lucidrains / pixel-level-contrastive-learningLinks
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
☆259Updated 4 years ago
Alternatives and similar repositories for pixel-level-contrastive-learning
Users that are interested in pixel-level-contrastive-learning are comparing it to the libraries listed below
Sorting:
- EsViT: Efficient self-supervised Vision Transformers☆413Updated last year
- Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.☆560Updated last year
- Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021☆353Updated 3 years ago
- Self-supervised vIsion Transformer (SiT)☆332Updated 2 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆305Updated 3 years ago
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)☆456Updated 4 years ago
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆231Updated 3 years ago
- ☆247Updated 3 years ago
- Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]☆412Updated 3 years ago
- Semi-supervised semantic segmentation needs strong, varied perturbations☆165Updated 3 years ago
- A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]☆290Updated 4 years ago
- ☆93Updated 4 years ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆199Updated 4 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆143Updated 5 months ago
- Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).☆403Updated 2 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆184Updated last year
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆492Updated 3 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆656Updated 4 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)☆455Updated 3 years ago
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆226Updated 4 years ago
- The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].☆168Updated 2 years ago
- This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.☆274Updated this week
- ☆190Updated 2 years ago
- Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)☆546Updated last year
- Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/180…☆153Updated last year
- Code for the Convolutional Vision Transformer (ConViT)☆465Updated 3 years ago
- ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation☆681Updated 2 years ago
- PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482☆103Updated 4 years ago
- ☆101Updated 2 years ago
- Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)☆382Updated 3 years ago