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 1511–1520 of 1723 papers

TitleStatusHype
Test-Time Intensity Consistency Adaptation for Shadow Detection—0
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions—0
A pooling based scene text proposal technique for scene text reading in the wild—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
Text-to-Image GAN with Pretrained Representations—0
Anticipating Object State Changes in Long Procedural Videos—0
Texture Underfitting for Domain Adaptation—0
TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking—0
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness—0
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots—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