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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1561–1570 of 1723 papers

TitleStatusHype
General-Purpose Deep Point Cloud Feature ExtractorCode0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition—0
Structured Label Inference for Visual UnderstandingCode0
Scenarios: A New Representation for Complex Scene Understanding—0
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsCode0
Recognizing Material Properties from Images—0
Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Boundary Seeking GANs—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