| foolwood/benchmark_results |
2,992 |
|
0 |
0 |
almost 6 years ago |
0 |
|
17 |
|
|
| Visual Tracking Paper List |
| Angzz/awesome-panoptic-segmentation |
430 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
|
| Panoptic Segmentation Resources List |
| EndlessSora/DeeperForensics-1.0 |
365 |
|
0 |
0 |
almost 5 years ago |
0 |
|
2 |
|
Python |
| [CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection |
| DavidZhangdw/Visual-Tracking-Development |
337 |
|
0 |
0 |
about 2 years ago |
0 |
|
2 |
|
Python |
| Visual Object Tracking |
| lzx551402/ASLFeat |
275 |
|
0 |
0 |
about 3 years ago |
0 |
|
14 |
mit |
Python |
| Implementation of CVPR'20 paper - ASLFeat: Learning Local Features of Accurate Shape and Localization |
| SoonminHwang/rgbt-ped-detection |
177 |
|
0 |
0 |
over 4 years ago |
0 |
|
10 |
other |
MATLAB |
| KAIST Multispectral Pedestrian Detection Benchmark [CVPR '15] |
| hpatches/hpatches-benchmark |
159 |
|
0 |
0 |
about 4 years ago |
0 |
|
19 |
bsd-2-clause |
MATLAB |
| Python & Matlab code for local feature descriptor evaluation with the HPatches dataset. |
| driving-behavior/DBNet |
145 |
|
0 |
0 |
about 7 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018 |
| Arthur151/SOTA-on-monocular-3D-pose-and-shape-estimation |
134 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
Python |
| State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery |
| cleardusk/MFR |
134 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
|
|
| Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020 |
