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Baijiong Lin*

1 accepted papers

2024

MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders

ECCV 2024poster

"Multi-task dense scene understanding, which learns a model for multiple dense prediction tasks, has a wide range of application scenarios. Modeling long-range dependency and enhancing cross-task interactions are crucial to multi-task dense prediction. In this paper, we propose MTMamba, a novel Mamb…