MehmetAygun / demistfy_correspondence
Code for the ECCV22 paper Demystifying Unsupervised Semantic Correspondence Estimation
☆13Updated 2 years ago
Alternatives and similar repositories for demistfy_correspondence:
Users that are interested in demistfy_correspondence are comparing it to the libraries listed below
- Official PyTorch Implementation of Dynamic Hyperpixel Flow, ECCV 2020☆39Updated 2 years ago
- [CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)☆51Updated 2 years ago
- [NeurIPS 2021] Official Matlab implementation of LOD: Large-Scale Unsupervised Object Discovery.☆21Updated 2 years ago
- ☆41Updated last year
- Official Code for ECCV2022: Learning Semantic Correspondence with Sparse Annotations☆18Updated 2 years ago
- 🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)☆34Updated 6 months ago
- Unsupervised object landmark discovery @ ICCV 21☆27Updated 3 years ago
- Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations ICCV23☆27Updated 4 months ago
- Unsupervised Part Discovery from Contrastive Reconstruction (NeurIPS 2021)☆67Updated last year
- The official project for the paper: Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation, CVPR 2022☆14Updated 2 years ago
- PyTorch code and pretrained weights for the UNIC models.☆31Updated 8 months ago
- Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019☆18Updated 5 years ago
- Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns☆16Updated 2 years ago
- ☆30Updated 2 years ago
- [NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition☆42Updated 3 years ago
- ☆37Updated 6 years ago
- ☆9Updated 3 years ago
- Code and instructions accompanying ICCV'23 paper Protoype-based Dataset Comparison☆18Updated last year
- Learning low-shot object classification with explicit shape bias learned from point clouds☆50Updated 3 years ago
- ☆11Updated 4 years ago
- Unsupervised learning of Object Landmarks through Conditional Image Generation☆47Updated 5 years ago
- ☆43Updated last year
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆88Updated 3 years ago
- Pytorch implementation of "TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut"☆60Updated 2 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- The code release for "Variational Structured Attention Networks for Visual Dense Representation Learning"☆14Updated 2 years ago
- This is the official released code for our paper, The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos, which has bee…☆53Updated 2 years ago
- Pytorch Implementation of paper "Object-Centric Learning with Slot Attention"☆90Updated last year
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations wh…☆25Updated 3 years ago