Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity-Reference-Cited by-同舟云学术

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Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Wang Weiyao¹,Feiszli Matt¹,Wang Heng¹,Malik Jitendra¹,Tran Du¹

Affiliation:

1. Meta AI Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879873.pdf?arnumber=9879873

Reference62 articles.

1. Fully convolutional networks for semantic segmentation

2. Large-Scale Long-Tailed Recognition in an Open World

3. Microsoft coco: Common objects in context;lin;ECCV,0

4. Learning the Depths of Moving People by Watching Frozen People

5. The Open Images Dataset V4

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3. Video Instance Segmentation in an Open-World;International Journal of Computer Vision;2024-07-30

4. Towards Open Vocabulary Learning: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-07

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