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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.

Data and Resources

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

DOI retrieved: December 3, 2024

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