| lijx10/SO-Net |
296 |
|
0 |
0 |
about 5 years ago |
0 |
|
7 |
mit |
Python |
| SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018 |
| endernewton/iter-reason |
258 |
|
0 |
0 |
about 8 years ago |
0 |
|
7 |
mit |
Python |
| Code for Iterative Reasoning Paper (CVPR 2018) |
| yanx27/PointASNL |
182 |
|
0 |
0 |
over 4 years ago |
0 |
|
16 |
mit |
Python |
| PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020） |
| bfshi/AbSViT |
120 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight) |
| liruihui/PointAugment |
98 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
other |
Python |
| Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral) |
| charlesCXK/PyTorch_Semantic_Segmentation |
73 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN |
| alinlab/M2m |
65 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Python |
| Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020) |
| evtimovi/robust_physical_perturbations |
35 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
mit |
Python |
| Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018) |
| jarvisWang0903/Awesome-Domain-Adaptation |
30 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
|
| :sunglasses: A curated list of domain adaptation papers, datasets and other resources. |
| johnnyasd12/awesome-few-shot-meta-learning |
27 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
|
| awesome few shot / meta learning papers |
