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Titlebook: Visual Question Answering; From Theory to Appli Qi Wu,Peng Wang,Wenwu Zhu Book 2022 The Editor(s) (if applicable) and The Author(s), under

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31#
發(fā)表于 2025-3-26 21:36:54 | 只看該作者
32#
發(fā)表于 2025-3-27 01:45:10 | 只看該作者
Referring Expression Comprehensionscribe this task and subsequently introduce prevalent datasets proposed for REC tasks such as the RefCOCO, RefCOCO+ and RefCOCOg datasets. Finally, we classify the methods in the REC domain into three main categories: two-stage models, one-stage models and reasoning process comprehension.
33#
發(fā)表于 2025-3-27 05:17:26 | 只看該作者
Question Answering (QA) Basicser, we discuss the QA task from the following aspects: rule-based methods, information retrieval-based methods, neural semantic parsing-based methods and approaches taking knowledge base into account.
34#
發(fā)表于 2025-3-27 09:51:29 | 只看該作者
35#
發(fā)表于 2025-3-27 14:39:06 | 只看該作者
Text-Based VQAxtVQA [.], ST-VQA [.] and OCR-VQA [.]. Subsequently, we describe an important tool (OCR) that is a prerequisite for the reasoning process, as texts must be first recognized. Next, we select 3 representative and effective models to address this problem and describe them in a sequential manner.
36#
發(fā)表于 2025-3-27 19:57:00 | 只看該作者
37#
發(fā)表于 2025-3-28 00:10:51 | 只看該作者
38#
發(fā)表于 2025-3-28 03:43:27 | 只看該作者
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發(fā)表于 2025-3-28 09:50:24 | 只看該作者
40#
發(fā)表于 2025-3-28 13:47:05 | 只看該作者
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