SOTAVerified

Relational Reasoning

The goal of Relational Reasoning is to figure out the relationships among different entities, such as image pixels, words or sentences, human skeletons or interactive moving agents.

Source: Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network

Papers

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Showing 131–140 of 483 papers

TitleStatusHype
Genesis: Towards the Automation of Systems Biology Research—0
A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning—0
A Modern Take on Visual Relationship Reasoning for Grasp Planning—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields—0
A Universal Model for Cross Modality Mapping by Relational Reasoning—0
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding—0
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning—0
Context Aware Group Activity Recognition—0
Attention on Abstract Visual Reasoning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified