SOTAVerified

Scene Segmentation

Scene segmentation is the task of splitting a scene into its various object components.

Image adapted from Temporally coherent 4D reconstruction of complex dynamic scenes.

Papers

Showing 251283 of 283 papers

TitleStatusHype
DepthComp: real-time depth image completion based on prior semantic scene segmentationCode0
Fast Scene Understanding for Autonomous DrivingCode0
Efficient Yet Deep Convolutional Neural Networks for Semantic SegmentationCode0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
Dirty Pixels: Towards End-to-End Image Processing and PerceptionCode0
Urban Scene Segmentation with Laser-Constrained CRFs0
End-to-end Learning of Driving Models from Large-scale Video DatasetsCode0
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy ImagesCode0
Did Evolution get it right? An evaluation of Near-Infrared imaging in semantic scene segmentation using deep learning0
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation0
ResearchDoom and CocoDoom: Learning Computer Vision with Games0
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV0
Fully Convolutional Networks for Semantic SegmentationCode0
Machine Learning for Visual Navigation of Unmanned Ground Vehicles0
Optical Flow with Semantic Segmentation and Localized Layers0
Temporally coherent 4D reconstruction of complex dynamic scenes0
Predicting Multiple Structured Visual Interpretations0
Semantic Segmentation of RGBD Images With Mutex Constraints0
A Deep Siamese Network for Scene Detection in Broadcast VideosCode0
General Dynamic Scene Reconstruction from Multiple View Video0
Layered Interpretation of Street View Images0
Layered RGBD Scene Flow Estimation0
Learning Similarity Metrics for Dynamic Scene Segmentation0
Automatic video scene segmentation based on spatial-temporal clues and rhythm0
Pedestrian Detection aided by Deep Learning Semantic Tasks0
Salient Object Detection: A Survey0
Learning Rich Features from RGB-D Images for Object Detection and SegmentationCode0
A Fully-Connected Layered Model of Foreground and Background Flow0
Segment-Tree Based Cost Aggregation for Stereo Matching0
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation0
Parsing Natural Scenes and Natural Language with Recursive Neural NetworksCode0
Layered image motion with explicit occlusions, temporal consistency, and depth ordering0
Segmenting Scenes by Matching Image Composites0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICMMean IoU50.6Unverified
2Index NetworkMean IoU33.48Unverified
3DeepLab-LargeFOVMean IoU32.08Unverified
4SegNetMean IoU31.84Unverified
5FCNMean IoU27.39Unverified
#ModelMetricClaimedVerifiedStatus
13DMVAverage Accuracy75Unverified
2KPConv3DIoU68.6Unverified
3PointNet++Average Accuracy60.2Unverified
#ModelMetricClaimedVerifiedStatus
1Mask2AnomalyOpen-mIoU59.8Unverified
2LDN121-RPLOpen-mIoU56.3Unverified
3LDN121-DenseHybridOpen-mIoU45.8Unverified
#ModelMetricClaimedVerifiedStatus
1NeighborNetAP71.9Unverified
2TranS4merAP60.78Unverified
#ModelMetricClaimedVerifiedStatus
1UNetFormerCategory mIoU67.8Unverified