| lingtengqiu/OPEC-Net |
108 |
|
0 |
0 |
over 4 years ago |
0 |
|
8 |
|
Python |
| Peeking into occluded joints: A novel framework for crowd pose estimation(ECCV2020) |
| YoungXIAO13/FewShotDetection |
88 |
|
0 |
0 |
about 5 years ago |
0 |
|
18 |
mit |
Python |
| (ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild" |
| visinf/cos-cvae |
29 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
apache-2.0 |
Jupyter Notebook |
| Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020) |
| Garima13a/Automatic-Image-Captioning |
26 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| In this project, I have created a neural network architecture to automatically generate captions from images. After using the Microsoft Common Objects in COntext (MS COCO) dataset to train my network, I have tested my network on novel images! |
| scwangdyd/zero_shot_hoi |
10 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
mit |
Python |
| Discovering human interaction with novel objects via zero-shot learning, CVPR, 2020 |
