deep-hough-transform
Line detector
A deep learning-based approach to semantic line detection
Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)
345 stars
12 watching
72 forks
Language: Python
last commit: about 3 years ago deep-learninghough-transformjittor
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | This implementation introduces line priors into a deep learning-based line detection system to improve efficiency and accuracy. | 163 |
| | Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 105 |
| | This project presents a PyTorch implementation of a deep learning algorithm for detecting line segments in images. | 172 |
| | PyTorch implementation of DeepLab v2 for semantic segmentation on COCO-Stuff and PASCAL VOC datasets | 1,098 |
| | A deep learning framework for detecting and describing lines in images, particularly robust to occlusion | 549 |
| | Automated table detection and extraction using deep learning | 198 |
| | Provides an implementation of a neural network for detecting lines in images and videos | 156 |
| | A high-performance PyTorch implementation of semantic image segmentation using a custom encoder-decoder architecture. | 334 |
| | A deep learning-based system for detecting and classifying blur in images | 73 |
| | Develops a deep learning-based contour detection system with a focus on accuracy and performance. | 94 |
| | Deep learning implementation of image matting, aiming to separate foreground and background from input images. | 293 |
| | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| | Provides Python wrappers for PyTorch and Lua, enabling developers to use PyTorch's deep learning capabilities from both languages. | 432 |
| | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
| | An implementation of line segment detection using convolutional neural networks and a coupled region coloring problem | 297 |