侵略
发表于 2025-3-28 15:14:21
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MOTTO
发表于 2025-3-28 20:39:05
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假
发表于 2025-3-28 22:54:49
,Most and Least Retrievable Images in Visual-Language Query Systems,s. An MRI is associated with and thus can be retrieved by many unrelated texts, while an LRI is disassociated from and thus not retrievable by related texts. Both of them have important practical applications and implications. Due to their one-to-many nature, it is fundamentally challenging to const
Ornithologist
发表于 2025-3-29 05:54:55
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Promotion
发表于 2025-3-29 10:30:28
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hegemony
发表于 2025-3-29 15:28:31
,Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions,information. While this is a trivial task for most humans, it is still an open problem for AI models. In this work, we hypothesize that poor use of the visual information available is at the core of the low performance of current models. To support this hypothesis, we provide experimental evidence s
简略
发表于 2025-3-29 16:49:50
,: Adapting Pretrained Text-to-Image Transformers for Story Continuation,en text. However, these models are ill-suited for specialized tasks like story visualization, which requires an agent to produce a sequence of images given a corresponding sequence of captions, forming a narrative. Moreover, we find that the story visualization task fails to accommodate generalizati
含铁
发表于 2025-3-29 21:59:43
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Allege
发表于 2025-3-30 02:43:55
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MAL
发表于 2025-3-30 05:27:19
End-to-End Active Speaker Detection,on. In this paper, we propose an end-to-end ASD workflow where feature learning and contextual predictions are jointly learned. Our end-to-end trainable network simultaneously learns multi-modal embeddings and aggregates spatio-temporal context. This results in more suitable feature representations