by Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia, details are in project page.
DeconvNet : Learning Deconvolution Network for Semantic Segmentation
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu
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,…
Die Hauptfunktionen von fyu/dilation sind: Scene Understanding, Segmentation Architectures, Semantic Segmentation.
Open-Source-Alternativen zu fyu/dilation sind unter anderem: hyeonwoonoh/deconvnet — DeconvNet : Learning Deconvolution Network for Semantic Segmentation. kolesman/sec — Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation. guosheng/refinenet. hszhao/pspnet — by Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia, details are in project page. junfu1115/danet — Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu. qingyonghu/randla-net — 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021).