| lucastabelini/LaneATT |
418 |
|
0 |
0 |
about 4 years ago |
0 |
|
5 |
mit |
Python |
| Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021) |
| lars76/kmeans-anchor-boxes |
342 |
|
0 |
0 |
over 6 years ago |
0 |
|
13 |
mit |
Python |
| k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper |
| aras62/vision-based-prediction |
278 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
TeX |
| Deep Learning for Vision-based Prediction |
| Confusezius/Revisiting_Deep_Metric_Learning_PyTorch |
217 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
mit |
Python |
| (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning. |
| CompVis/metric-learning-divide-and-conquer |
213 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
lgpl-3.0 |
Python |
| Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019 |
| allenai/scifact |
194 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
other |
Python |
| Data and models for the SciFact verification task. |
| dingkeyan93/Intrinsic-Image-Popularity |
189 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
|
Python |
| The pytorch code of the paper "Intrinsic Image Popularity Assessment" |
| Yuliang-Liu/TIoU-metric |
166 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| Tightness-aware Evaluation Protocol for Scene Text Detection (CVPR 2019) |
| Flink-zhisheng/flink-learning |
91 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
apache-2.0 |
Java |
| wlwkgus/DeepSpectralClustering |
77 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
|
Python |
| Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper |
