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 1311–1320 of 1723 papers

TitleStatusHype
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event CameraCode1
MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views—0
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding—0
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations—0
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds—0
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous DrivingCode1
FroDO: From Detections to 3D Objects—0
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection ConstraintsCode0
SUPER: A Novel Lane Detection System—0
Taskology: Utilizing Task Relations at Scale—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