AI RESEARCH
Evaluation of Winning Solutions of 2025 Low Power Computer Vision Challenge
arXiv CS.CV
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ArXi:2604.19054v1 Announce Type: new The IEEE Low-Power Computer Vision Challenge (LPCVC) aims to promote the development of efficient vision models for edge devices, balancing accuracy with constraints such as latency, memory capacity, and energy use. The 2025 challenge featured three tracks: (1) Image classification under various lighting conditions and styles, (2) Open-Vocabulary Segmentation with Text Prompt, and (3) Monocular Depth Estimation.