DeRPN
Proposal network
Improves object detection by generating region proposals with increased adaptivity.
A novel region proposal network for more general object detection ( including scene text detection ).
156 stars
23 watching
46 forks
Language: Python
last commit: over 7 years agoLinked from 1 awesome list
detectionobject-detectionobject-proposalsregion-proposalsrpnscene-textscene-text-detectiontext-detection
amusi/awesome-object-detectionRelated projects:
| Repository | Description | Stars |
|---|---|---|
 chanyn/hkrm | Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 105 |
 yuwenxiong/py-r-fcn | An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |
 xiong-zhitong/pytorch_rfcn | An implementation of an object detection algorithm using PyTorch and region-based fully convolutional networks | 279 |
 tianzhi0549/ctpn | Detects text in images using a neural network architecture | 1,282 |
 eniac-xie/faster-rcnn-resnet | A custom implementation of Faster R-CNN with ResNet architecture and Online Hard Example Mining. | 207 |
 lironui/abcnet | Develops an efficient network architecture for semantic segmentation of high-resolution remote sensing images. | 34 |
 jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
 unsky/fpn | This project implements a deep learning framework for object detection using a feature pyramid network architecture. | 525 |
 jiwei0921/dmra | A Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection | 105 |
 taokong/ron | A deep learning framework for object detection tasks using a novel neural network architecture | 355 |
 daijifeng001/r-fcn | A MATLAB implementation of an object detection framework that leverages deep fully convolutional networks to accurately and efficiently detect objects in images. | 1,245 |
 yonghaoxu/rpnet | Matlab implementation of a deep learning-based method for classifying hyperspectral images | 56 |
 hszhao/pspnet | A PyTorch implementation of a deep learning model for semantic image segmentation | 1,598 |
 cherubicxn/afm_cvpr2019 | An implementation of line segment detection using convolutional neural networks and a coupled region coloring problem | 297 |
 zhengpeng7/birefnet | An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |