mxnet-dssd
Object detector
An implementation of Deconvolutional Single Shot Detector using MXNet and TDM architecture for object detection.
An mxnet implementation of Deconvolutional SSD
112 stars
6 watching
41 forks
Language: Python
last commit: over 8 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| An object detection system implemented using MXNet and based on the Single Shot MultiBox Object Detector algorithm. | 763 | |
| A C++ object detection module for mxnet-ssd | 97 | |
| An object detection framework that combines multiple scales and levels to improve detection accuracy. | 1,450 | |
| A deep learning-based object detection system from scratch | 706 | |
| An implementation of a unified framework for object detection using a single network. | 109 | |
| A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 | |
| A Python-based object detection framework utilizing transformers and computer vision techniques to detect salient objects in RGB-thermal images | 16 | |
| A tool for detecting objects in images using deep learning models | 290 | |
| An object detection system using a novel receptive field block module to enhance feature discriminability and robustness. | 1,416 | |
| A deep learning framework for 3D object detection from RGB-D data | 1,598 | |
| An implementation of Mask R-CNN using MXNet and Resnet-50-FPN for object detection and segmentation in images. | 1,755 | |
| An implementation of an object detection framework that incorporates relation networks and deformable convolutions | 1,096 | |
| An implementation of the Deep Supervised Object Detector from scratch using PyTorch. | 70 | |
| An implementation of instance-level salient object segmentation using the MSRNet architecture | 9 | |
| Object detection using Caffe-based Single Shot MultiBox Detector on satellite imagery data | 57 |