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 1421–1430 of 1723 papers

TitleStatusHype
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications—0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images—0
So you think you can track?—0
SparseLGS: Sparse View Language Embedded Gaussian Splatting—0
SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models—0
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment—0
Attributes-aware Visual Emotion Representation Learning—0
SpatialLM: Training Large Language Models for Structured Indoor Modeling—0
Spatial Sampling Network for Fast Scene Understanding—0
Spatiotemporal Event Graphs for Dynamic Scene Understanding—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