rrc_detection
Object detector
An object detection framework utilizing recurrent rolling convolution for accurate single-stage detection
Accurate Single Stage Detector Using Recurrent Rolling Convolution
361 stars
22 watching
136 forks
Language: C++
last commit: over 9 years agoLinked from 1 awesome list
amusi/awesome-object-detectionRelated projects:
| Repository | Description | Stars |
|---|---|---|
 zhaoweicai/cascade-rcnn | An object detection framework that combines multiple popular algorithms in a multi-stage process to improve detection accuracy. | 1,046 |
 charlesshang/tffrcnn | A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
 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 |
 xiaolonw/adversarial-frcnn | A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
 liuyuisanai/rsa-for-object-detection | Provides a software framework for implementing object detection algorithms using Recurrent Scale Approximation (RSA) and CNN-based methods | 238 |
 taokong/ron | A deep learning framework for object detection tasks using a novel neural network architecture | 355 |
 yuwenxiong/py-r-fcn | An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |
 xingyizhou/extremenet | An object detection framework that uses extreme and center points to detect objects in images. | 1,032 |
 jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
 chengyangfu/retinamask | A Python-based implementation of a single-shot object detection algorithm using Mask R-CNN architecture. | 339 |
 liulei01/drbox | An algorithm for detecting objects with arbitrary orientations in images | 421 |
 robertcsordas/rfcn-tensorflow | An implementation of a deep learning model for object detection and segmentation in images | 292 |
 ruotianluo/pytorch-faster-rcnn | An implementation of Faster R-CNN detection framework in PyTorch | 1,816 |
 eniac-xie/faster-rcnn-resnet | A custom implementation of Faster R-CNN with ResNet architecture and Online Hard Example Mining. | 207 |
 yhcc/yolo2 | An implementation of the YOLO object detection algorithm using TensorFlow and Keras | 161 |