| abhineet123/Deep-Learning-for-Tracking-and-Detection |
2,270 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
|
HTML |
| Collection of papers, datasets, code and other resources for object tracking and detection using deep learning |
| lxx1991/VS-ReID |
278 |
|
0 |
0 |
over 7 years ago |
0 |
|
4 |
bsd-2-clause |
Python |
| Video Object Segmentation with Re-identification |
| philferriere/tfvos |
150 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge. |
| tfzhou/MATNet |
137 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
|
Python |
| Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020) |
| raghudeep/netwarp_public |
58 |
|
0 |
0 |
over 8 years ago |
0 |
|
7 |
bsd-3-clause |
Python |
| Semantic Video CNNs through Representation Warping. ICCV 2017 |
| hsp-iit/roft |
27 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
gpl-2.0 |
C++ |
| Real-time Optical Flow-aided 6D Object Pose and Velocity Tracking |
| davidstutz/hierarchical-graph-based-video-segmentation |
22 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
C++ |
| Implementation of the hierarchical graph-based video segmentation algorithm proposed by Grundmann et al. [1] based on the image segmentation algorithm by Felzenswalb and Huttenlocher [2]. |
| cq615/Joint-Motion-Estimation-and-Segmentation |
20 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| [MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences |
| nagrjungururaj/Semantic-Motion-Segmentation-using-Optical-flow-and-Convolutional-Neural-Networks |
6 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
MATLAB |
| Semantic Motion Segmentation using Optical flow and Convolutional Neural Networks |
| dibya-pati/ComputerVision |
5 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Various projects using Open CV |
