LETR
Line Segment Detector
An algorithm for line segment detection using Transformers without edges
(CVPR 2021 Oral) LETR: Line Segment Detection Using Transformers without Edges
211 stars
5 watching
40 forks
Language: Jupyter Notebook
last commit: about 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 navervision/mlsd | Develops efficient and real-time line segment detection software for resource-constrained environments. | 543 |
 cherubicxn/afm_cvpr2019 | An implementation of line segment detection using convolutional neural networks and a coupled region coloring problem | 297 |
 svip-lab/ppgnet | This project presents a PyTorch implementation of a deep learning algorithm for detecting line segments in images. | 172 |
 siyuada7/tp-lsd | An implementation of a line segment detection algorithm in computer vision | 143 |
 cvg/deeplsd | A software framework for detecting and refining line segments in images using deep learning techniques | 497 |
| cvg/sold2 | A deep learning framework for detecting and describing lines in images, particularly robust to occlusion | 549 |
 cleinc/linedetector | This project provides an efficient line segment detector using OpenCV. | 83 |
 delay-xili/f-clip | Provides an implementation of a neural network for detecting lines in images and videos | 156 |
 xlearning-scu/2021-cvpr-mrl | Develops a robust learning framework to handle noisy labels in multimodal data and improve cross-modal retrieval. | 13 |
 cslu-nlp/detectormorse | A tool for automatically detecting sentence boundaries in natural language text using machine learning and handcrafted features. | 90 |
 ucsc-real/cal | An implementation of a method to learn with instance-dependent label noise in deep learning models using PyTorch | 47 |
 mvirgo/mlnd-capstone | This is a machine learning project that uses deep learning to detect lane lines on road images | 433 |
 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 |
 pdollar/edges | A toolbox for detecting and locating edges in images with high accuracy | 829 |
 hanqer/deep-hough-transform | A deep learning-based approach to semantic line detection | 345 |