RON
Object detector
A deep learning framework for object detection tasks using a novel neural network architecture
RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017
355 stars
28 watching
134 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list
amusi/awesome-object-detectionRelated projects:
| Repository | Description | Stars |
|---|---|---|
 yuwenxiong/py-r-fcn | An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |
 chanyn/hkrm | Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 104 |
 charlesshang/tffrcnn | A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 874 |
 chengyangfu/retinamask | A Python-based implementation of a single-shot object detection algorithm using Mask R-CNN architecture. | 339 |
 jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
 liulei01/drbox | An open-source deep learning framework for detecting rotated objects in images | 421 |
 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 |
 robertcsordas/rfcn-tensorflow | An implementation of a deep learning model for object detection and segmentation in images | 292 |
 hizhangp/yolo_tensorflow | A TensorFlow-based implementation of the YOLO object detection algorithm for image classification and tracking. | 799 |
 zengarden/light_head_rcnn | A research implementation of an object detection algorithm using a variant of the R-CNN model with a light head architecture. | 834 |
 lz118/deep-correlation-network | Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors. | 13 |
 xiaolonw/adversarial-frcnn | A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
 xiaohaochen/rrc_detection | An object detection framework utilizing recurrent rolling convolution for accurate single-stage detection | 361 |
 avanetten/simrdwn | An object detection system using rapid satellite imagery and deep learning algorithms | 216 |
 shengcao-cao/hassod | Develops a neural network architecture for object detection and instance segmentation without labeled data | 51 |