| kuanghuei/SCAN |
442 |
|
0 |
0 |
about 3 years ago |
0 |
|
18 |
apache-2.0 |
Python |
| PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018) |
| zhou13/neurvps |
132 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
mit |
Python |
| Neural Vanishing Point Scanning via Conic Convolution |
| daveredrum/Scan2Cap |
74 |
|
0 |
0 |
over 3 years ago |
0 |
|
7 |
other |
Python |
| [CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans |
| MaverickPeter/DiSCO-pytorch |
37 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
Python |
| Differentiable Scan Context with Orientation |
| abhi4ssj/few-shot-segmentation |
27 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Python |
| PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans |
| wayne980/PolyLoss |
15 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| Source code of Universal Weighting Metric Learning for Cross-Modal Matching. The paper is accepted by CVPR2020. |
| udion/XTBTorch |
10 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Detecting tuberculosis from X-ray scan using pytorch |
| nmningmei/BOLD5000_autoencoder |
10 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| autoencoder trained on BOLD5000 dataset |
| AsuradaYuci/SCAN_pytorch |
5 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Python |
| support pytorch>=0.4 |
| weichen-huang/COVID-Efficientnet-Pytorch |
5 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| COVID-19 Detection through Xray scans and Efficientnet |
