Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer-Reference-Cited by-同舟云学术

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Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer

Published:2022 Issue: Volume: Page:666-681
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Thawakar Omkar,Narayan Sanath,Cao Jiale,Cholakkal Hisham,Anwer Rao Muhammad,Khan Muhammad Haris,Khan Salman,Felsberg Michael,Khan Fahad Shahbaz

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19818-2_38

Reference29 articles.

1. Lecture Notes in Computer Science;A Athar,2020

2. Bertasius, G., Torresani, L.: Classifying, segmenting, and tracking object instances in video with mask propagation. In: CVPR (2020)

3. Lecture Notes in Computer Science;J Cao,2020

4. Lecture Notes in Computer Science;N Carion,2020

5. Fu, Y., Yang, L., Liu, D., Huang, T.S., Shi, H.: CompFeat: comprehensive feature aggregation for video instance segmentation. In: AAAI (2021)

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