| jiwei0921/SOD-CNNs-based-code-summary- |
792 |
|
0 |
0 |
about 2 years ago |
0 |
|
2 |
|
|
| The summary of code and paper for salient object detection with deep learning. |
| GeorgeDu/vision-based-robotic-grasping |
732 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
|
Python |
| Related papers and codes for vision-based robotic grasping |
| Joker316701882/Deep-Image-Matting |
574 |
|
0 |
0 |
over 7 years ago |
0 |
|
37 |
|
Python |
| This is tensorflow implementation for paper "Deep Image Matting" |
| shahroudy/NTURGB-D |
468 |
|
0 |
0 |
about 4 years ago |
0 |
|
15 |
|
MATLAB |
| Info and sample codes for "NTU RGB+D Action Recognition Dataset" |
| nkalavak/awesome-object-pose |
293 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
|
|
| This repository is a curated list of papers and open source code for 6D Object Pose Estimation. |
| taozh2017/RGBD-SODsurvey |
267 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
|
MATLAB |
| RGB-D Salient Object Detection: A Survey |
| sjmoran/DeepLPF |
175 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Python |
| Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement" |
| thmoa/octopus |
172 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Python |
| This repository contains code corresponding to the paper Learning to Reconstruct People in Clothing from a Single RGB Camera. |
| xingchenzhang/RGB-T-fusion-tracking-papers-and-results |
167 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
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|
| The papers and results about RGB-T fusion tracking |
| MichaelBeechan/VO-SLAM-Review |
165 |
|
0 |
0 |
over 3 years ago |
0 |
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0 |
apache-2.0 |
|
| SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects |
