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 531–540 of 1723 papers

TitleStatusHype
Empowering cyberphysical systems of systems with intelligence—0
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?—0
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction—0
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery—0
A Reflectance Based Method For Shadow Detection and Removal—0
A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes—0
Embracing Diffraction: A Paradigm Shift in Wireless Sensing and Communication—0
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments—0
Embodied Visual Active Learning for Semantic Segmentation—0
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables 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