MOSE: A New Dataset for Video Object Segmentation in Complex Scenes-Reference-Cited by-同舟云学术

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MOSE: A New Dataset for Video Object Segmentation in Complex Scenes

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Ding Henghui¹,Liu Chang¹,He Shuting¹,Jiang Xudong¹,Torr Philip H.S.²,Bai Song³

Affiliation:

1. Nanyang Technological University

2. University of Oxford

3. ByteDance

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377570.pdf?arnumber=10377570

Reference113 articles.

1. STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos

2. End-to-End Referring Video Object Segmentation with Multimodal Transformers

3. Semantic object classes in video: A high-definition ground truth database

4. One-Shot Video Object Segmentation

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1. Learning Local and Global Temporal Contexts for Video Semantic Segmentation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

2. Structural Transformer with Region Strip Attention for Video Object Segmentation;Neurocomputing;2024-09

3. ChineseMPD: A Semantic Segmentation Dataset of Chinese Martial Arts Classic Movie Props;Scientific Data;2024-08-14

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

5. Evaluation of data augmentation techniques on subjective tasks;Machine Vision and Applications;2024-07

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