lucidrains / pixel-level-contrastive-learning
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
- Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.☆557Updated last year
- EsViT: Efficient self-supervised Vision Transformers☆410Updated last year
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆490Updated 2 years ago
- Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021☆346Updated 3 years ago
- A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]☆290Updated 3 years ago
- Semi-supervised semantic segmentation needs strong, varied perturbations☆164Updated 3 years ago
- Self-supervised vIsion Transformer (SiT)☆327Updated 2 years ago
- Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).☆397Updated 2 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆141Updated 2 months ago
- Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]☆410Updated 2 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆304Updated 3 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)☆455Updated 2 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆183Updated last year
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆648Updated 3 years ago
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)☆451Updated 3 years ago
- reproduction of semantic segmentation using masked autoencoder (mae)☆161Updated 3 years ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆198Updated 4 years ago
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆231Updated 3 years ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆81Updated 4 years ago
- A simple consistency training framework for semi-supervised image semantic segmentation☆168Updated 7 months ago
- Code for the Convolutional Vision Transformer (ConViT)☆466Updated 3 years ago
- ☆191Updated 2 years ago
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆226Updated 3 years ago
- ☆92Updated 4 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆538Updated 8 months ago
- [ICIP 2021] Puzzle-CAM: Improved localization via matching partial and full features.☆178Updated 2 years ago
- ☆245Updated 3 years ago
- ☆98Updated 2 years ago
- PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482☆103Updated 3 years ago
- Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting V…☆487Updated last year