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cs.CV2025
AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation
Junwen Miao, Penghui Du, Yingying Fan +5
Industrial anomaly detection (IAD) is challenging due to the subtle and highly localized nature of many defects, which single-pass vision--language models (VLMs) often fail to capt…
cs.CV2025
SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports
Haotian Xia, Haonan Ge, Junbo Zou +16
Deeply understanding sports requires an intricate blend of fine-grained visual perception and rule-based reasoning - a challenge that pushes the limits of current multimodal models…