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cs.CV2024
Rethinking Unsupervised Outlier Detection via Multiple Thresholding
Zhonghang Liu, Panzhong Lu, Guoyang Xie +2
In the realm of unsupervised image outlier detection, assigning outlier scores holds greater significance than its subsequent task: thresholding for predicting labels. This is beca…
cs.AI2024
Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models
Qiji Zhou, Ruochen Zhou, Zike Hu +3
Recent advancements in Chain-of-Thought (CoT) and related rationale-based works have significantly improved the performance of Large Language Models (LLMs) in complex reasoning tas…