研究者希望能够打破黑箱,探索神经网络在完成VQA (Visual Question Answering) 时能够显式的表达出推理过程,并根据这些推理阶段进行训练。这就是视觉推理(Visual Reasoning)。 CLEVR 斯坦福大学李飞飞团队提出了CLEVR数据集,专门针对视觉推理任务。 CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visu...
Visual Reasoning(3): A simple neural network module for relational reasoning,程序员大本营,技术文章内容聚合第一站。
题目:Heterogeneous Graph Learning for Visual Commonsense Reasoning 来源:NeurIPS-2019 原文链接: https://arxiv.org/pdf/1910.11475.pdfarxiv.org/pdf/1910.11475.pdfAbstract 视觉常识推理任务(From Recognition to Cognition)旨在通过预测正确答案的能力同时需要提供令人信服的推理路径,引领研究领域解决认知级推理...
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning - floodsung/Deep-Reasoning-Papers
The proposed reasoning module is also capable of yielding a set of reasoning rules, precisely modeling the human knowledge in solving the RPM problem. To validate the proposed method on real-world applications, an RPM-like One-shot Frame-prediction (ROF) dataset is constructed, where visual ...
代码链接:yangli18/VLTVG: Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning, CVPR 2022 (github.com) 出处:CVPR2022 内容简介:本文提出了一种基于Transformer的视觉定位框架,通过建立文本条件的鉴别性特征和执行多阶段跨模态推理,实现了准确的视觉定位。该方法包括视觉-语言验证模块...
FiLM: Visual Reasoning with a General Conditioning LayerEthan Perez 12 , Florian Strub 3 , Harm de Vries 1 ,Vincent Dumoulin 1 , Aaron Courville 141 MILA, Université of Montréal, Canada; 2 Rice University, U.S.A.;3 Univ. Lille, CNRS, Centrale Lille, Inria, UMR 9189 CRIStAL France; ...
Symbolic reasoning IntelliTest uses an automaticconstraint solverto determine which values are relevant for the test and the program under test. However, the abilities of the constraint solver are, and always will be, limited. Incorrect stack traces ...
Kunpeng Li,Yulun Zhang,Kai Li, Yuanyuan Li andYun Fu. "Visual Semantic Reasoning for Image-Text Matching", ICCV, 2019. [pdf] Introduction Image-text matching has been a hot research topic bridging the vision and language areas. It remains challenging because the current representation of image...
(VLMs) struggle to capture relational information. In this paper, we present Visual Spatial Reasoning (VSR), a dataset containing more than 10k natural text-image pairs with 66 types of spatial relations in English (such as: under, in front of, and facing). While using a seemingly simple ...