| CSAILVision/places365 |
1,454 |
|
0 |
0 |
over 5 years ago |
0 |
|
24 |
mit |
Python |
| The Places365-CNNs for Scene Classification |
| whitelok/image-text-localization-recognition |
928 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約 |
| KaihuaTang/Scene-Graph-Benchmark.pytorch |
914 |
|
0 |
0 |
over 2 years ago |
0 |
|
108 |
mit |
Jupyter Notebook |
| A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020” |
| jwyang/graph-rcnn.pytorch |
482 |
|
0 |
0 |
about 6 years ago |
0 |
|
32 |
|
Python |
| Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers |
| Jiakui/awesome-gcn |
377 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
|
| resources for graph convolutional networks （图卷积神经网络相关资源） |
| vislearn/LessMore |
186 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
bsd-3-clause |
C++ |
| Learning Less is More - 6D Camera Localization via 3D Surface Regression |
| qinnzou/Robust-Lane-Detection |
172 |
|
0 |
0 |
over 3 years ago |
0 |
|
21 |
|
Python |
| val-iisc/crowd-counting-scnn |
142 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Python |
| This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results |
| wanglimin/MRCNN-Scene-Recognition |
130 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Matlab |
| MR-CNNs for Large-Scale Scene Recognition |
| GKalliatakis/Keras-VGG16-places365 |
113 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification |
