共同确定为确
发表于 2025-3-30 11:59:37
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后退
发表于 2025-3-30 15:53:12
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争吵
发表于 2025-3-30 19:04:01
See and Think: Embodied Agent in Virtual Environment,hotspot. This paper proposes STEVE, a comprehensive and visionary embodied agent in the Minecraft virtual environment. STEVE comprises three key components: vision perception, language instruction, and code action. Vision perception involves interpreting visual information in the environment, which
ALLAY
发表于 2025-3-30 21:11:57
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欢乐东方
发表于 2025-3-31 03:15:34
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obscurity
发表于 2025-3-31 05:33:31
,VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding,cade of vision and language models. The text component can either be extracted explicitly with the use of external OCR models in OCR-based approaches, or alternatively, the vision model can be endowed with reading capabilities in OCR-free approaches. Typically, the queries to the model are input exc
里程碑
发表于 2025-3-31 10:17:31
,Masked Angle-Aware Autoencoder for Remote Sensing Images,ade promising progress. However, they have overlooked the diverse angles present in RS objects. This paper proposes the Masked Angle-Aware Autoencoder (MA3E) to perceive and learn angles during pre-training. We design a . operation to create the rotated crop with random orientation on each original
原谅
发表于 2025-3-31 14:17:06
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OVER
发表于 2025-3-31 19:48:25
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Urgency
发表于 2025-4-1 01:23:43
,GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths,arious applications. Traditional scanpath models predict the where and when of gaze shifts without providing explanations, creating a gap in understanding the rationale behind fixations. To bridge this gap, we introduce GazeXplain, a novel study of visual scanpath prediction and explanation. This in