| 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） |
| abduallahmohamed/Social-STGCNN |
360 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
Python |
| Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020 |
| rowanz/neural-motifs |
348 |
|
0 |
0 |
over 6 years ago |
0 |
|
26 |
mit |
Python |
| Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018) |
| Zhongdao/gcn_clustering |
314 |
|
0 |
0 |
over 4 years ago |
0 |
|
28 |
mit |
Jupyter Notebook |
| Code for CVPR'19 paper Linkage-based Face Clustering via GCN |
| GXYM/DRRG |
251 |
|
0 |
0 |
almost 3 years ago |
0 |
|
12 |
mit |
C++ |
| Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493 |
| cshizhe/asg2cap |
175 |
|
0 |
0 |
over 3 years ago |
0 |
|
17 |
mit |
Python |
| Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., CVPR 2020, Oral). |
| svip-lab/PPGNet |
126 |
|
0 |
0 |
over 6 years ago |
0 |
|
6 |
mit |
Python |
| Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection |
| ChrisAllenMing/GPA-detection |
93 |
|
0 |
0 |
almost 5 years ago |
0 |
|
10 |
|
Python |
| Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral). |
| cy69855522/AI-Paper-Drawer |
88 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
|
| 人工智能论文关键点集结。This project aims to collect key points of AI papers. |
| layer6ai-labs/EGT |
30 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
Java |
| Code for the CVPR'19 paper "Explore-Exploit Graph Traversal for Image Retrieval" |
