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CrowdCC: Jointly Benchmarking Corruption Robustness and Deployment Quantization in Crowd Counting

arXiv:2610.36340v1 Announce Type: new Abstract: Crowd-counting models deployed on edge devices face two shifts: inputs are degraded along the capture and transmission pipeline, while models are quantized to satisfy resource constraints. Yet corruption robustness and deployment quantization are typi…

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  1. 2026-10-28 04:00 · arXiv cs.CV
    CrowdCC: Jointly Benchmarking Corruption Robustness and Deployment Quantization in Crowd Counting

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