Delving deep into many-to-many attention for few-shot video object segmentation

Delving deep into many-to-many attention for few-shot video object segmentation

This paper tackles the task of Few-Shot Video Object Segmentation (FSVOS), i.e., segmenting objects in the query videos with certain class specified in a few labeled support images. The key is to model the relationship between the query videos and the support images for propagating the object inform...

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Bibliographic Details
Main Authors: CHEN, Haoxin, WU, Hanjie, ZHAO, Nanxuan, REN, Sucheng, HE, Shengfeng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Agent network; Breakings; Linear spaces; Linear time; Many to many; Novel domain; Object information; Query video; Single frames; Video objects segmentations
Graphics and Human Computer Interfaces
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/8527
https://ink.library.smu.edu.sg/context/sis_research/article/9530/viewcontent/Delving_deep_into_many_to_many_attention_for_few_shot_video_object_segmentation.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8527
https://ink.library.smu.edu.sg/context/sis_research/article/9530/viewcontent/Delving_deep_into_many_to_many_attention_for_few_shot_video_object_segmentation.pdf

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