afm_cvpr2019
Line Segment Detector
An implementation of line segment detection using convolutional neural networks and a coupled region coloring problem
Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)
297 stars
16 watching
65 forks
Language: Python
last commit: about 7 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 svip-lab/ppgnet | This project presents a PyTorch implementation of a deep learning algorithm for detecting line segments in images. | 172 |
 mlpc-ucsd/letr | An algorithm for line segment detection using Transformers without edges | 211 |
 cvg/sold2 | A deep learning framework for detecting and describing lines in images, particularly robust to occlusion | 549 |
 aka-discover/ccmba_cvpr23 | Improving semantic segmentation robustness to motion blur using custom data augmentation techniques | 6 |
| cvg/deeplsd | A software framework for detecting and refining line segments in images using deep learning techniques | 497 |
 yanconglin/deep-hough-transform-line-priors | This implementation introduces line priors into a deep learning-based line detection system to improve efficiency and accuracy. | 163 |
 delay-xili/f-clip | Provides an implementation of a neural network for detecting lines in images and videos | 156 |
 hciilab/derpn | Improves object detection by generating region proposals with increased adaptivity. | 156 |
 jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
 navervision/mlsd | Develops efficient and real-time line segment detection software for resource-constrained environments. | 543 |
 kinpzz/msrnet-cviu | An implementation of instance-level salient object segmentation using the MSRNet architecture | 9 |
 lartpang/ovcamo | Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. | 20 |
 charlesq34/frustum-pointnets | A deep learning framework for 3D object detection from RGB-D data | 1,598 |
 imatge-upc/saliency-2016-cvpr | This project proposes a solution to predict salient areas in images using convolutional neural networks. | 186 |
 doubledaibo/drnet_cvpr2017 | This project presents a deep neural network architecture designed to detect visual relationships in images. | 202 |