cascade-rcnn
Multi-stage detector
An object detection framework that combines multiple popular algorithms in a multi-stage process to improve detection accuracy.
Caffe implementation of multiple popular object detection frameworks
1k stars
41 watching
293 forks
Language: C++
last commit: about 6 years ago
Linked from 1 awesome list
object-detection
amusi/awesome-object-detectionRelated projects:
| Repository | Description | Stars |
|---|---|---|
 xiaohaochen/rrc_detection | An object detection framework utilizing recurrent rolling convolution for accurate single-stage detection | 361 |
 xiaolonw/adversarial-frcnn | A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
 charlesshang/tffrcnn | A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
 yuwenxiong/py-r-fcn | An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |
 bharatsingh430/py-r-fcn-multigpu | A software framework for training object detection models on multiple GPUs using the Caffe deep learning framework | 193 |
 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 |
 yingtongdou/care-gnn | An implementation of a graph neural network-based fraud detector designed to counter camouflaged fraudsters | 250 |
 taokong/ron | A deep learning framework for object detection tasks using a novel neural network architecture | 355 |
 chengyangfu/retinamask | A Python-based implementation of a single-shot object detection algorithm using Mask R-CNN architecture. | 339 |
 frankzhangrui/darknet-yolo | An end-to-end object detection framework with a custom YOLO implementation for training on user-provided data. | 49 |
 feigechuanshu/ncnn-android-yolov6 | An Android implementation of YOLOv6 object detection using the ncnn library and OpenCV for efficient mobile deployment | 62 |
 robertcsordas/rfcn-tensorflow | An implementation of a deep learning model for object detection and segmentation in images | 292 |
 jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
 liuyuisanai/rsa-for-object-detection | Provides a software framework for implementing object detection algorithms using Recurrent Scale Approximation (RSA) and CNN-based methods | 238 |
 xingyizhou/extremenet | An object detection framework that uses extreme and center points to detect objects in images. | 1,032 |