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 1471–1480 of 1723 papers

TitleStatusHype
Weakly Supervised Learning of Affordances—0
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review—0
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection—0
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks—0
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding—0
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field—0
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives—0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—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