| facebookresearch/multipathnet |
1,361 |
|
0 |
0 |
about 7 years ago |
0 |
|
23 |
other |
Lua |
| A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135) |
| bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets |
1,236 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
mit |
Python |
| Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet |
| bubbliiiing/faster-rcnn-pytorch |
1,230 |
|
0 |
0 |
almost 3 years ago |
0 |
|
153 |
mit |
Python |
| 这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。 |
| andreaskoepf/faster-rcnn.torch |
126 |
|
0 |
0 |
over 9 years ago |
0 |
|
6 |
mit |
Lua |
| Experimental Torch7 implementation of RCNN for Object Detection with a Region Proposal Network |
| fmassa/object-detection.torch |
113 |
|
0 |
0 |
almost 10 years ago |
0 |
|
6 |
bsd-2-clause |
Lua |
| ruotianluo/Faster-RCNN-Densecap-torch |
89 |
|
0 |
0 |
almost 10 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Faster-RCNN based on Densecap(deprecated) |
| Sharpiless/yolov3-vehicle-detection-paddle |
48 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
|
Python |
| vehicle-detection based on yolov3（基于paddle的YOLOv3车辆检测和类型识别） |
| aimagelab/STAGE_action_detection |
38 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
|
Python |
| Code of the STAGE module for video action detection |
| lupantech/dual-mfa-vqa |
33 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
Matlab |
| Co-attending Regions and Detections for VQA. |
| szagoruyko/fastrcnn-models.torch |
16 |
|
0 |
0 |
over 10 years ago |
0 |
|
1 |
|
|
| Fast-RCNN models in Torch-7 format |
