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English(EN) Event-SAMA: Language-Grounded Video Object Segmentation on Neuromorphic Event Streams

新型Event-SAMA模型实现事件流上的基于语言的视频分割

研究人员开发了Event-SAMA,一种新颖的、专门为神经形态事件流设计的、基于语言的视频对象分割方法。这项工作引入了Event-SAMA-239K,这是一个通过将SAMA-239K语料库转换为合成事件数据而创建的新数据集,保留了所有原始标注。Event-SAMA模型改编自SAMA-4B,利用双通道极性块嵌入和事件适配器,实现了首个事件原生RVOS基线,在相关基准测试中优于先前的方法。 AI

影响 为使用事件相机的视频分析带来了新能力,有可能在低光照或高速场景下提高性能。

排序理由 该集群描述了一篇介绍新模型和数据集以用于特定AI任务的新研究论文。

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新型Event-SAMA模型实现事件流上的基于语言的视频分割

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sergei Fedorchenko, Max Zehnder, Nikola Zubi\'c, Rong Zou, Davide Scaramuzza ·

    Event-SAMA:基于语言的神经形态事件流视频对象分割

    arXiv:2610.39676v1 Announce Type: cross Abstract: Event cameras offer microsecond temporal resolution, high dynamic range and no motion blur, but referring video object segmentation (RVOS) lacks event-stream datasets and models. We introduce Event-SAMA-239K, a synthetic-event con…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Event-SAMA: Language-Grounded Video Object Segmentation on Neuromorphic Event Streams

    Event cameras offer microsecond temporal resolution, high dynamic range and no motion blur, but referring video object segmentation (RVOS) lacks event-stream datasets and models. We introduce Event-SAMA-239K, a synthetic-event conversion of the SAMA-239K grounded video-chat corpu…