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20242026
most citedOn the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

1 citations · 2 across the 4 of their papers we have counts for

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cs.CV2026

MedAD-R1: Consistency-Reinforced Policy Optimization for Interpretable Medical Anomaly Detection

Haitao Zhang, Yingying Wang, Jiaxiang Wang +5

Medical Anomaly Detection (MedAD) offers a promising direction for medical image analysis with Large Multimodal Models (LMMs). However, progress is limited by fragmented datasets a…

cs.CV2024★ 1 cited

Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification

Zhenyu Kuang, Hongyang Zhang, Mang Ye +5

Generalizable vehicle re-identification (ReID) seeks to develop models that can adapt to unknown target domains without the need for additional fine-tuning or retraining. Previous…