Seg-with-SPN

Video Segmentation Library

This project provides code and pre-trained models for object segmentation in videos using a spatial propagation network.

Demo code of the paper: "Learning to Segment Instances in Videos with Spatial Propagation Network", in CVPR'17 Workshop on DAVIS Challenge

GitHub

144 stars
9 watching
32 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
jianhuupenn/spagcn An algorithmic framework to integrate gene expression data with spatial location and histological information to identify distinct regions in tissue samples. 198
shaoqingren/spp_net An implementation of an object detection algorithm using spatial pyramid pooling in deep convolutional networks. 364
juntang-zhuang/laddernet A deep learning implementation of a multi-path network architecture for medical image segmentation 139
hszhao/pspnet A PyTorch implementation of a deep learning model for semantic image segmentation 1,593
jingzhang617/cod-rank-localize-and-segment Develops a system to detect, segment, and rank camouflaged objects in images. 74
juntang-zhuang/shelfnet An implementation of a lightweight semantic segmentation model with real-time performance capabilities 252
nv-tlabs/gscnn This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. 920
dong-x16/portraitnet A real-time portrait segmentation model developed for efficient deployment on mobile devices 286
xueliancheng/slt-net A video object detection framework that uses temporal consistency to detect camouflaged objects in videos 61
hyeonwoonoh/deconvnet Deconvolution network architecture for semantic segmentation 325
huicongzhang/stdan Deblurring algorithm for videos using a neural network 52
yikang-li/msdn An implementation of a multi-level scene description network in PyTorch for generating scene graphs from object, phrase, and region captions. 227
zhujun98/semantic_segmentation Implementations of deep learning architectures for semantic segmentation of images in various datasets. 6
shengcao-cao/hassod Develops a neural network architecture for object detection and instance segmentation without labeled data 51
xiaolonw/nips14_loc_seg_testonly An implementation of object segmentation using computer vision techniques on images from the NIPS 2014 challenge. 25