厦门大学、Intel、大疆联合出品 GIM: 从网络视频中学习零样本图像匹配大模型
["图像匹配是计算机视觉的基础任务","近年来基于深度学习的匹配模型逐渐流行","厦门大学、Intel、大疆提出了GIM: Learning Generalizable Image Matcher from Internet Videos","GIM可以让匹配模型从互联网视频中学习到强泛化能力","GIM框架适用于所有匹配模型，包括DKM、LoFTR和SuperGlue","作者提出了第一个Zero-shot Evaluation Benchmark(ZEB)","GIM提升了匹配模型的泛化性能"]
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