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 1301–1310 of 1723 papers

TitleStatusHype
Scene Summarization: Clustering Scene Videos into Spatially Diverse Frames—0
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments—0
Scene Text Detection for Augmented Reality -- Character Bigram Approach to reduce False Positive Rate—0
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text—0
Scene Understanding Enabled Semantic Communication with Open Channel Coding—0
Scene Understanding for Autonomous Manipulation with Deep Learning—0
Scene Understanding for Autonomous Driving—0
Scene Understanding in Pick-and-Place Tasks: Analyzing Transformations Between Initial and Final Scenes—0
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System—0
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding—0
Show:102550
← PrevPage 131 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