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 1631–1640 of 1723 papers

TitleStatusHype
Learning from Maps: Visual Common Sense for Autonomous Driving—0
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation—0
Places: An Image Database for Deep Scene Understanding—0
Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding—0
On the usability of deep networks for object-based image analysis—0
On Support Relations and Semantic Scene Graphs—0
Bottom-up Instance Segmentation using Deep Higher-Order CRFs—0
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV—0
Seeing with Humans: Gaze-Assisted Neural Image Captioning—0
IM2CAD—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