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Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Vision Foundation Models (VFMs) have demonstrated outstanding performance on
numerous downstream tasks. However, due to their inherent representation biases …
numerous downstream tasks. However, due to their inherent representation biases …
Enhancing Energy Efficiency in Intelligent Edge Systems through Hardware-Algorithm Co-design
Z Fan - 2024 - deepblue.lib.umich.edu
With the rising popularity of artificial intelligence, providing on-device intelligence for edge
devices remains challenging due to high computation and memory overheads. Hardware …
devices remains challenging due to high computation and memory overheads. Hardware …
MSM: Multi-Scale Mamba in Multi-Task Dense Prediction
M Cao, S Zhou, Y Deng, W Huang, L Wang, J Wang - openreview.net
High-quality visual representations are crucial for success in multi-task dense prediction.
The Mamba architecture, initially designed for natural language processing, has garnered …
The Mamba architecture, initially designed for natural language processing, has garnered …