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 251–283 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 CRFs—0
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 learning—0
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation—0
ResearchDoom and CocoDoom: Learning Computer Vision with Games—0
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV—0
Fully Convolutional Networks for Semantic SegmentationCode0
Machine Learning for Visual Navigation of Unmanned Ground Vehicles—0
Optical Flow with Semantic Segmentation and Localized Layers—0
Temporally coherent 4D reconstruction of complex dynamic scenes—0
Predicting Multiple Structured Visual Interpretations—0
Semantic Segmentation of RGBD Images With Mutex Constraints—0
A Deep Siamese Network for Scene Detection in Broadcast VideosCode0
General Dynamic Scene Reconstruction from Multiple View Video—0
Layered Interpretation of Street View Images—0
Layered RGBD Scene Flow Estimation—0
Learning Similarity Metrics for Dynamic Scene Segmentation—0
Automatic video scene segmentation based on spatial-temporal clues and rhythm—0
Pedestrian Detection aided by Deep Learning Semantic Tasks—0
Salient Object Detection: A Survey—0
Learning Rich Features from RGB-D Images for Object Detection and SegmentationCode0
A Fully-Connected Layered Model of Foreground and Background Flow—0
Segment-Tree Based Cost Aggregation for Stereo Matching—0
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation—0
Parsing Natural Scenes and Natural Language with Recursive Neural NetworksCode0
Layered image motion with explicit occlusions, temporal consistency, and depth ordering—0
Segmenting Scenes by Matching Image Composites—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICMMean IoU50.6—Unverified
2Index NetworkMean IoU33.48—Unverified
3DeepLab-LargeFOVMean IoU32.08—Unverified
4SegNetMean IoU31.84—Unverified
5FCNMean IoU27.39—Unverified
#ModelMetricClaimedVerifiedStatus
13DMVAverage Accuracy75—Unverified
2KPConv3DIoU68.6—Unverified
3PointNet++Average Accuracy60.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Mask2AnomalyOpen-mIoU59.8—Unverified
2LDN121-RPLOpen-mIoU56.3—Unverified
3LDN121-DenseHybridOpen-mIoU45.8—Unverified
#ModelMetricClaimedVerifiedStatus
1NeighborNetAP71.9—Unverified
2TranS4merAP60.78—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetFormerCategory mIoU67.8—Unverified