| clovaai/cutblur |
335 |
|
0 |
0 |
over 3 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| Rethinking Data Augmentation for Image Super-resolution (CVPR 2020) |
| lzx551402/contextdesc |
218 |
|
0 |
0 |
about 3 years ago |
0 |
|
11 |
|
Python |
| Implementation of CVPR'19 paper (oral) - ContextDesc: Local Descriptor Augmentation with Cross-Modality Context |
| 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) |
| clovaai/embedding-expansion |
56 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020) |
| SHTUPLUS/ContextLab |
33 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch |
| hiyouga/AMP-Regularizer |
25 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021 |
| xinghaochen/pointnet.caffe |
14 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Python |
| Caffe Re-implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" [Qi et al., CVPR 2017] |
| mahdihosseini/ADP |
5 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Python |
| Atlas of Digital Pathology for Deep Learning [CVPR 2019] |
