Modern reasoning CAPTCHAs require fine-grained perception, compositional relation reasoning, and grounded browser interaction. End-to-end vision-language model agents remain brittle in this setting because a missed object, incorrect count, or confused relation can propagate directly to the final action. To address this...
Shang-Quan Sun, Ruo-Yu Chen, Zhi-Rui Liu et al.· 0 citations
To develop a trustworthy AI system, it is essential to understand its behavior using attribution methods, which aim to identify the input regions that most influence the model's decisions. For discrete inputs such as images, however, accurately identifying input prediction interactions is particularly challenging becau...
Ruo-Yu Chen, Si-Yuan Liang, Jing-Zhi Li et al.· IEEE Transactions on Pattern...· 7 citations
Detecting defects in real-world industrial inspection often requires learning from only a few normal images per category. Recent few-shot anomaly detection methods have achieved strong performance by measuring feature differences between query images and normal references. However, visual differences do not always indi...
Shang-Quan Sun, Wen-Jun Luo, Yuan-Zhi Wang et al.· 0 citations
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