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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 483 papers

TitleStatusHype
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
Beyond Graph Neural Networks with Lifted Relational Neural NetworksCode1
MLPs Learn In-Context on Regression and Classification TasksCode1
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning AssistanceCode1
CORE-Text: Improving Scene Text Detection with Contrastive Relational ReasoningCode1
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image InterpretationCode1
Play Fair: Frame Attributions in Video ModelsCode1
Prototypical Representation Learning for Relation ExtractionCode1
Reconstructing Groups of People with Hypergraph Relational ReasoningCode1
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified