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Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation

25 August 2023
Jiaming Zhang
Yutao Cui
Gangshan Wu
Limin Wang
    VOS
ArXivPDFHTML

Papers citing "Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation"

5 / 5 papers shown
Title
Learning Spatial-Semantic Features for Robust Video Object Segmentation
Learning Spatial-Semantic Features for Robust Video Object Segmentation
Xin Li
Deshui Miao
Zhenyu He
Y. Wang
Huchuan Lu
Ming Yang
VOS
41
4
0
10 Jul 2024
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
Ming-hui Li
Shuai Li
Xindong Zhang
Lei Zhang
VOS
33
16
0
28 Feb 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Collaborative Video Object Segmentation by Multi-Scale
  Foreground-Background Integration
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
Zongxin Yang
Yunchao Wei
Yi Yang
VOS
33
160
0
13 Oct 2020
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
166
21,643
0
09 Dec 2016
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