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 1351–1360 of 1723 papers

TitleStatusHype
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and ModalitiesCode0
DAWN: Vehicle Detection in Adverse Weather Nature Dataset—0
Factor Graph based 3D Multi-Object Tracking in Point Clouds—0
Global Context Aware Convolutions for 3D Point Cloud Understanding—0
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation LearningCode0
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets—0
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery—0
JUMPS: Joints Upsampling Method for Pose Sequences—0
Analogical Image Translation for Fog Generation—0
Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks—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