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

Showing 921930 of 1723 papers

TitleStatusHype
RGB-T Semantic Segmentation with Location, Activation, and SharpeningCode1
Visual Semantic Parsing: From Images to Abstract Meaning Representation0
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real DataCode1
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task modelsCode1
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation0
Segmentation-guided Domain Adaptation for Efficient Depth Completion0
Novel 3D Scene Understanding Applications From Recurrence in a Single Image0
SQA3D: Situated Question Answering in 3D ScenesCode1
EarthNets: Empowering AI in Earth Observation0
Uncertainty-aware LiDAR Panoptic SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.44Unverified
2Team VGAI (TCS Research)OMQ0.37Unverified
3Demo_semantic_SLAMOMQ0.11Unverified
#ModelMetricClaimedVerifiedStatus
1CPN(ResNet-101)Mean IoU46.3Unverified
#ModelMetricClaimedVerifiedStatus
1ACRV BaselineOMQ0.35Unverified