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 731–740 of 1723 papers

TitleStatusHype
Exploiting Temporal Coherence for Multi-modal Video Categorization—0
Exploiting High Level Scene Cues in Stereo Reconstruction—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Challenges for Monocular 6D Object Pose Estimation in Robotics—0
ArK: Augmented Reality with Knowledge Interactive Emergent Ability—0
Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks—0
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception—0
Exosense: A Vision-Based Scene Understanding System For Exoskeletons—0
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
Adversarial Attacks on Monocular Depth Estimation—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