Relation-Networks-for-Object-Detection
Object detector
An implementation of an object detection framework that incorporates relation networks and deformable convolutions
Relation Networks for Object Detection
1k stars
34 watching
189 forks
Language: Python
last commit: about 5 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| This project presents a deep neural network architecture designed to detect visual relationships in images. | 202 | |
| An implementation of an end-to-end learning framework for video object detection using feature aggregation along motion paths | 724 | |
| A Python-based object detection framework utilizing transformers and computer vision techniques to detect salient objects in RGB-thermal images | 16 | |
| A MATLAB implementation of an object detection framework that leverages deep fully convolutional networks to accurately and efficiently detect objects in images. | 1,245 | |
| Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors. | 13 | |
| This repository provides a framework for visual relationship detection using deep learning models and pre-processing tools. | 94 | |
| An implementation of a deep learning model for object detection and segmentation in images | 292 | |
| A Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection | 105 | |
| A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 | |
| A deep learning framework for object detection tasks using a novel neural network architecture | 355 | |
| A tool for detecting objects in images using deep learning models | 290 | |
| A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 | |
| An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 | |
| Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 105 | |
| A deep learning framework for 3D object detection from RGB-D data | 1,598 |