Proxygml
Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Spotlight | 2,809 | a year ago | 72 | mit | Python | |||||
| Deep recommender models using PyTorch. | ||||||||||
| Liteflownet | 543 | a year ago | other | C++ | ||||||
| LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%) | ||||||||||
| Axial Deeplab | 313 | 3 years ago | 10 | apache-2.0 | Python | |||||
| This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight) | ||||||||||
| Prm | 303 | 6 years ago | 17 | |||||||
| Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight) | ||||||||||
| Distributionbalancedloss | 287 | 2 years ago | 3 | Python | ||||||
| Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight) | ||||||||||
| Hessian_penalty | 188 | 3 years ago | 2 | bsd-2-clause | Python | |||||
| Code for the Hessian Penalty: A Weak Prior for Unsupervised Disentanglement (ECCV 2020 Spotlight) | ||||||||||
| Openibl | 162 | 3 years ago | 11 | mit | Python | |||||
| [ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization. 🌏 PyTorch open-source toolbox for image-based localization (place recognition). | ||||||||||
| Tuigan Pytorch | 113 | 4 years ago | 5 | Python | ||||||
| PyTorch Implementation of ECCV 2020 Spotlight "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images" | ||||||||||
| Proxygml | 37 | 3 years ago | 1 | mit | Python | |||||
| Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight) | ||||||||||
| Pointmixup | 30 | 3 years ago | 2 | Python | ||||||
| Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation | ||||||||||
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