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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1111–1120 of 1723 papers

TitleStatusHype
PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds—0
CompNVS: Novel View Synthesis with Scene Completion—0
Pedestrian Travel Time Estimation in Crowded Scenes—0
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations—0
Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving—0
Complete 3d relationships extraction modality alignment network for 3d dense captioning—0
PerspectiveNet: Multi-View Perception for Dynamic Scene Understanding—0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation—0
PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly—0
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding—0
Show:102550
← PrevPage 112 of 173Next →
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