ExtremeNet
Object detector
An object detection framework that uses extreme and center points to detect objects in images.
Bottom-up Object Detection by Grouping Extreme and Center Points
1k stars
26 watching
174 forks
Language: Python
last commit: almost 6 years ago
Linked from 1 awesome list
amusi/awesome-object-detectionRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ibm/max-object-detector | A tool for detecting objects in images using deep learning models | 290 |
 avanetten/simrdwn | An object detection system using rapid satellite imagery and deep learning algorithms | 216 |
 jxr326/swinmcnet | A Python-based object detection framework utilizing transformers and computer vision techniques to detect salient objects in RGB-thermal images | 16 |
 yuwenxiong/py-r-fcn | An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |
 jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
 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 |
 xueliancheng/slt-net | A video object detection framework that uses temporal consistency to detect camouflaged objects in videos | 61 |
 xingwangsfu/caffe-yolo | An implementation of YOLO object detection in Caffe using pre-trained darknet weights | 519 |
 liulei01/drbox | An algorithm for detecting objects with arbitrary orientations in images | 421 |
 wongkinyiu/yolor | An implementation of a unified network architecture for multiple object detection tasks using PyTorch | 1,992 |
 yutingzhang/fgs-obj | Demonstrates object detection using fine-grained search and structured prediction techniques | 50 |
 xiaohaochen/rrc_detection | An object detection framework utilizing recurrent rolling convolution for accurate single-stage detection | 361 |
 goatmessi8/rfbnet | An object detection system using a novel receptive field block module to enhance feature discriminability and robustness. | 1,416 |
 yuhangzang/contextdet | An approach to detecting objects in images using multimodal large language models and contextual information | 208 |
 taokong/ron | A deep learning framework for object detection tasks using a novel neural network architecture | 355 |