廈門大學、Intel、大疆聯合出品 GIM: 從網絡視頻中學習零樣本圖像匹配大模型
["圖像匹配是計算機視覺的基礎任務","近年來基於深度學習的匹配模型逐漸流行","廈門大學、Intel、大疆提出了GIM: Learning Generalizable Image Matcher from Internet Videos","GIM可以讓匹配模型從互聯網視頻中學習到強泛化能力","GIM框架適用於所有匹配模型，包括DKM、LoFTR和SuperGlue","作者提出了第一個Zero-shot Evaluation Benchmark(ZEB)","GIM提升了匹配模型的泛化性能"]
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