SOTAVerified

Scene Understanding

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

Papers

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Showing 681–690 of 1723 papers

TitleStatusHype
Deep Structured Scene Parsing by Learning with Image Descriptions—0
An Anti-fraud System for Car Insurance Claim Based on Visual Evidence—0
Large Margin Learning of Upstream Scene Understanding Models—0
LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning—0
Leaky Wave Antenna-Equipped RF Chipless Tags for Orientation Estimation—0
Deep Semantic Segmentation of Natural and Medical Images: A Review—0
Benchmarking Vision Language Models for Cultural Understanding—0
Deep Scene Text Detection with Connected Component Proposals—0
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding—0
An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC)—0
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All datasetsSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)ADE20K valSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44—Unverified
2Team VGAI (TCS Research)OMQ0.37—Unverified
3Demo_semantic_SLAMOMQ0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35—Unverified