RFBNet
Object detector
An object detection system using a novel receptive field block module to enhance feature discriminability and robustness.
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
1k stars
47 watching
356 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
detectionmobilenetpytorchrfbnet
amusi/awesome-object-detectionRelated projects:
| Repository | Description | Stars |
|---|---|---|
 team3997/chickenvision | An image processing system for detecting and tracking objects in camera feed using HSV color thresholding. | 31 |
 maju116/platypus | An R package for object detection and image segmentation with pre-trained models. | 130 |
 jxr326/swinmcnet | A Python-based object detection framework utilizing transformers and computer vision techniques to detect salient objects in RGB-thermal images | 16 |
 unsky/retinanet | A Python implementation of the RetinaNet architecture with focal loss for dense object detection. | 225 |
 rucaibox/pope | An evaluation framework for detecting object hallucinations in vision-language models | 187 |
 lartpang/ovcamo | Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. | 20 |
 avanetten/simrdwn | An object detection system using rapid satellite imagery and deep learning algorithms | 216 |
 vdigpku/cfenet | A single-stage object detection system utilizing a comprehensive feature enhancement module | 198 |
 jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
 bharath272/sds_eccv2014 | A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 |
 eniac-xie/faster-rcnn-resnet | A custom implementation of Faster R-CNN with ResNet architecture and Online Hard Example Mining. | 207 |
 xingyizhou/extremenet | An object detection framework that uses extreme and center points to detect objects in images. | 1,032 |
 ethanhe42/softer-nms | An object detection technique using bounding box regression and uncertainty estimation to improve accurate detection results | 367 |
 charlesq34/frustum-pointnets | A deep learning framework for 3D object detection from RGB-D data | 1,598 |
 xiaolonw/adversarial-frcnn | A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |