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 15411550 of 1723 papers

TitleStatusHype
Non-central panorama indoor datasetCode0
Weighted Intersection over Union (wIoU) for Evaluating Image SegmentationCode0
Deep Learning based Switching Filter for Impulsive Noise Removal in Color ImagesCode0
Deep Learning--Based Scene Simplification for Bionic VisionCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
Neural Radiance Field CodebooksCode0
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous VehicleCode0
IAM: Enhancing RGB-D Instance Segmentation with New BenchmarksCode0
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge TransferCode0
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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