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 1261–1270 of 1723 papers

TitleStatusHype
BPDO:Boundary Points Dynamic Optimization for Arbitrary Shape Scene Text Detection—0
Safety Assessment for Autonomous Systems' Perception Capabilities—0
BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization—0
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data—0
SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes—0
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation—0
SAM-Guided Masked Token Prediction for 3D Scene Understanding—0
SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment—0
Boundary Seeking GANs—0
Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images—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