mlsd
Line detector
Develops efficient and real-time line segment detection software for resource-constrained environments.
Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection" (AAAI 2022 Oral)
539 stars
17 watching
82 forks
Language: Python
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
mlpc-ucsd/letr | An algorithm for line segment detection using Transformers without edges | 210 |
siyuada7/tp-lsd | An implementation of a line segment detection algorithm in computer vision | 142 |
cvg/deeplsd | A software framework for detecting and refining line segments in images using deep learning techniques | 484 |
delay-xili/f-clip | Provides an implementation of a neural network for detecting lines in images and videos | 154 |
svip-lab/ppgnet | This project presents a PyTorch implementation of a deep learning algorithm for detecting line segments in images. | 173 |
cherubicxn/afm_cvpr2019 | An implementation of line segment detection using convolutional neural networks and a coupled region coloring problem | 295 |
cvg/sold2 | A deep learning framework for detecting and describing lines in images, particularly robust to occlusion | 546 |
damo-nlp-sg/vcd | An approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs | 209 |
activevisionlab/lalaloc | This project develops software for detecting and understanding 3D layouts in dynamic environments. | 23 |
jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
yanconglin/deep-hough-transform-line-priors | This implementation introduces line priors into a deep learning-based line detection system to improve efficiency and accuracy. | 164 |
shi-labs/gfr-dsod | Improving Object Detection from Scratch via Gated Feature Reuse | 65 |
msracver/flow-guided-feature-aggregation | An implementation of an end-to-end learning framework for video object detection using feature aggregation along motion paths | 723 |
szq0214/dsod | A deep learning-based object detection system from scratch | 706 |
bcdnlp/faithscore | Evaluates answers generated by large vision-language models to assess hallucinations | 25 |