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 1171–1180 of 1723 papers

TitleStatusHype
Facing the Void: Overcoming Missing Data in Multi-View ImageryCode0
Review on Panoramic Imaging and Its Applications in Scene Understanding—0
Unsupervised Discovery and Composition of Object Light Fields—0
Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recovery—0
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text—0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection—0
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?—0
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints—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