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 651–660 of 1723 papers

TitleStatusHype
Diffusion Models in 3D Vision: A Survey—0
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds—0
Diffusion-based RGB-D Semantic Segmentation with Deformable Attention Transformer—0
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice—0
Joint Optical Flow and Temporally Consistent Semantic Segmentation—0
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes—0
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis—0
Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness—0
Diagnostics in Semantic Segmentation—0
DGOcc: Depth-aware Global Query-based Network for Monocular 3D Occupancy Prediction—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