How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
by Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia, details are in project page.
The main features of hszhao/pspnet are: Segmentation Architectures, Semantic Segmentation, Plug and Play Modules.
Open-source alternatives to hszhao/pspnet include: hyeonwoonoh/deconvnet — DeconvNet : Learning Deconvolution Network for Semantic Segmentation. kazuto1011/deeplab-pytorch — This is an unofficial PyTorch implementation of DeepLab v2 [1] with a ResNet-101 backbone. COCO-Stuff dataset [2] and… fyu/dilation — Properties of dilated convolution are discussed in our ICLR 2016 conference paper. This repository contains the… guosheng/refinenet. junfu1115/danet — Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu. kolesman/sec — Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation.
DeconvNet : Learning Deconvolution Network for Semantic Segmentation
Properties of dilated convolution are discussed in our ICLR 2016 conference paper. This repository contains the network definitions and the trained models. You can use this code together with vanilla Caffe to segment images using the pre-trained models. If you want to train the models yourself,…
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu