2016,2017
1.MaskTrack
(Learning Video Object Segmentation from Static Images)
2.OSVOS
(One-Shot Video Object Segmentation)
3.OnAVOS
(Online Adaptation of Convolutional Neural Networks for Video Object Segmentation)
4.Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks
5.SegFlow
(Joint Learning for Video Object Segmentation and Optical Flow)
6.Video Object Segmentation using Tracked Object Proposals
2018
1.ReConvNet
(Video Object Segmentation with Spatio-Temporal Features Modulation)
2.FAVOS
(Fast and Accurate Online Video Object Segmentation via Tracking Parts)
3.OSMN
(Efficient Video Object Segmentation via Network Modulation)
4.MaskRNN
(Instance Level Video Object Segmentation)
5.RGMP
(Fast Video Object Segmentation by Reference-Guided Mask Propagation)
6.VideoMatch
(Matching based Video Object Segmentation)
7.DyeNet
(Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation)