Learning Fast and Robust Target Models for Video Object Segmentation

27 February 2020

Papers citing "Learning Fast and Robust Target Models for Video Object Segmentation"

8 / 8 papers shown

Title
RMem: Restricted Memory Banks Improve Video Object Segmentation Junbao Zhou Ziqi Pang Yu-xiong Wang VOS 43 7 0 12 Jun 2024
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds Jiahui Liu Chirui Chang Jianhui Liu Xiaoyang Wu Lan Ma Xiaojuan Qi 3DPC 17 16 0 18 Jul 2023
Co-attention Propagation Network for Zero-Shot Video Object Segmentation Gensheng Pei Yazhou Yao Fumin Shen Daniel Huang Xing-Rui Huang Hengtao Shen VOS 12 11 0 08 Apr 2023
Region Aware Video Object Segmentation with Deep Motion Modeling Bo Miao Bennamoun Yongsheng Gao Ajmal Saeed Mian VOS 4 16 0 21 Jul 2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection Carol Xu M. Famouri Gautam Bathla M. Shafiee Alexander Wong 17 1 0 25 Apr 2022
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking A. Lukežič Jirí Matas Matej Kristan VOS 6 9 0 22 Dec 2021
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook S. Javed Martin Danelljan F. Khan Muhammad Haris Khan M. Felsberg Jirí Matas 32 126 0 06 Dec 2021
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective Yuxi Li N. Xu Wenjie Yang John See Weiyao Lin VOS 14 5 0 02 Nov 2021