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MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation

Semantic segmentation performs pixel-level classifica- tion to localize objects from different classes in the input image. Open-vocabulary semantic segmentation aims to generalize beyond finite base classes and segments objects from novel classes unseen during training.

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Cite this as

Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Baochang Zhang (2024). Dataset: MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation. https://doi.org/10.57702/j9n1azpq

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Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2304.06957
Author Jie Guo
More Authors
Qimeng Wang
Yan Gao
Xiaolong Jiang
Xu Tang
Yao Hu
Baochang Zhang
Homepage https://github.com/open-mmlab/mmsegmentation