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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Chengyuan Chang

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Jul 2026

VCF-CLIP: Visual Context-Driven Fine-Grained Prompt Learning for Zero-Shot Anomaly Detection.

This work proposes VCF-CLIP, a visual context-driven fine-grained prompt learning framework built upon CLIP, and proposes the prompt prototype learning (PPL) strategy, which learns a pair of unified prompt prototypes representing general normal and anomalous states in a loss-guided manner, thereby eliminating the need for manual prompt design.

Kaiwen Fu, Fei Qi, Chengyuan Chang et al. · 0 citations

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