[10] D. A. Hudson and C. D. Manning, “GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering,” in2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, Jun. 2019, pp. 6693–6702, doi: 10.1109/CVPR.2019.00686...
visual reasoning希望可以将VQA的推理过程清晰地表现出来。 Structure 本文的模型包含三个部分。首先,场景解析器(即去渲染器)将输入的图片分割为不同物体(通过Mask R-CNN),然后通过CNN生成结构化的场景描述(即图中的表格,将每个物体的尺寸、形状、材料、颜色、位置进行提取);然后,问题解析器通过LSTM将问题转化为可执...
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering 【一个用于真实世界视觉推理和组合式问答的新数据集】 简介:GQA是一个大规模真实世界视觉推理和组合式问答数据集。它通过场景图来生成复杂的推理性问题,并提供语义表示的功能程序。该数据集引入了一套新的指标来评估一致性、...
2.xGQA: Cross-Lingual Visual Question Answering 3.CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment 4.CARETS: A Consistency And Robustness Evaluative Test Suite for VQA 5.Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question ...
Learn what Visual Question Answering (VQA) is, how it works, and explore models commonly used for VQA.
此外，VQA也催生了许多新的数据集，包括侧重于视觉推理和语言组合性的模型及相关数据集（CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning, Johnson et al., CVPR17）；对于VQA第一版数据集的重新切分，使其可以用来研究语言的组合性问题C-VQA（A Compositional Split of the ...
Motivated by the comparable success of biological vision, we argue that feedback mechanisms including working memory and attention are the key computational components underlying abstract visual reasoning. 期刊:arXiv, 2018年2月13日 网址: http://www.zhuanzhi.ai/document/29c9b137a6891efa4779acadea135...
此外,VQA也催生了许多新的数据集,包括侧重于视觉推理和语言组合性的模型及相关数据集(CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning, Johnson et al., CVPR17);对于VQA第一版数据集的重新切分,使其可以用来研究语言的组合性问题C-VQA(A Compositional Split of the VQA ...
mutual exclusivity and all the reasoning skills subtending them.Linguistic issues behind visual questio...
mutual exclusivity and all the reasoning skills subtending them.Linguistic issues behind visual questio...