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Visual Reasoning

13 papers with code · Reasoning

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Compositional Attention Networks for Machine Reasoning

ICLR 2018 stanfordnlp/mac-network

We present the MAC network, a novel fully differentiable neural network architecture, designed to facilitate explicit and expressive reasoning.

VISUAL REASONING

FiLM: Visual Reasoning with a General Conditioning Layer

22 Sep 2017ethanjperez/film

We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation.

VISUAL REASONING

Inferring and Executing Programs for Visual Reasoning

ICCV 2017 ethanjperez/film

Existing methods for visual reasoning attempt to directly map inputs to outputs using black-box architectures without explicitly modeling the underlying reasoning processes.

VISUAL REASONING

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

CVPR 2017 ethanjperez/film

When building artificial intelligence systems that can reason and answer questions about visual data, we need diagnostic tests to analyze our progress and discover shortcomings.

QUESTION ANSWERING VISUAL QUESTION ANSWERING VISUAL REASONING

Object Level Visual Reasoning in Videos

ECCV 2018 fabienbaradel/object_level_visual_reasoning

Human activity recognition is typically addressed by detecting key concepts like global and local motion, features related to object classes present in the scene, as well as features related to the global context.

HUMAN ACTIVITY RECOGNITION OBJECT DETECTION VISUAL REASONING

A Dataset and Architecture for Visual Reasoning with a Working Memory

ECCV 2018 google/cog

COG is much simpler than the general problem of video analysis, yet it addresses many of the problems relating to visual and logical reasoning and memory -- problems that remain challenging for modern deep learning architectures.

VISUAL QUESTION ANSWERING VISUAL REASONING

Explainable and Explicit Visual Reasoning over Scene Graphs

5 Dec 2018shijx12/XNM-Net

We aim to dismantle the prevalent black-box neural architectures used in complex visual reasoning tasks, into the proposed eXplainable and eXplicit Neural Modules (XNMs), which advance beyond existing neural module networks towards using scene graphs --- objects as nodes and the pairwise relationships as edges --- for explainable and explicit reasoning with structured knowledge.

VISUAL REASONING

FigureQA: An Annotated Figure Dataset for Visual Reasoning

ICLR 2018 vmichals/FigureQA-baseline

To resolve, such questions often require reference to multiple plot elements and synthesis of information distributed spatially throughout a figure.

VISUAL REASONING

Mapping Natural Language Commands to Web Elements

EMNLP 2018 stanfordnlp/phrasenode

The web provides a rich, open-domain environment with textual, structural, and spatial properties.

RELATIONAL REASONING VISUAL REASONING

Visual Reasoning by Progressive Module Networks

ICLR 2019 seung-kim/pmn_demo

Thus, a module for a new task learns to query existing modules and composes their outputs in order to produce its own output.

VISUAL REASONING