Abstract: One effective approach for solving few-shot classification is learning deep representations that measure the similarity between query images and a few support images of specific categories.
🌐 Ming-UniVision is a groundbreaking multimodal large language model (MLLM) that unifies vision understanding, generation, and editing within a single autoregressive next-token prediction (NTP) ...
Cybersecurity researchers have disclosed details of a now-patched security flaw impacting Ask Gordon, an artificial intelligence (AI) assistant built into Docker Desktop and the Docker Command-Line ...
Abstract: We propose a low-shot image classification method called Limo, which can train an accurate image classification model under conditions of acute data scarcity. Limo uniquely assembles ...
(2025-09-15) The inference code of A-FINE is intergrated into the excellent PyIQA codeframe. Please find the detailed usage here. (2025-04-14) We release the DiffIQA dataset. (2025-04-14) We release ...
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