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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 181–190 of 283 papers

Title	Date	Tasks	Status	Hype
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion	Nov 16, 2021	3D Semantic SegmentationAutonomous Driving	—Unverified	0
FBNet: Feature Balance Network for Urban-Scene Segmentation	Nov 5, 2021	Autonomous DrivingImage Segmentation	—Unverified	0
2020 CATARACTS Semantic Segmentation Challenge	Oct 21, 2021	AnatomyScene Segmentation	—Unverified	0
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data	Oct 13, 2021	3D Object ClassificationClassification	—Unverified	0
Boundary-aware Pre-training for Video Scene Segmentation	Sep 29, 2021	Scene SegmentationSelf-Supervised Learning	—Unverified	0
Predicting Driver Self-Reported Stress by Analyzing the Road Scene	Sep 27, 2021	image-classificationImage Classification	—Unverified	0
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation	Sep 21, 2021	Autonomous VehiclesScene Segmentation	CodeCode Available	0
A Multimodal Framework for Video Ads Understanding	Aug 29, 2021	MarketingOptical Character Recognition	—Unverified	0
Semantic Scene Segmentation for Robotics Applications	Aug 25, 2021	Autonomous NavigationScene Segmentation	—Unverified	0
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation	Aug 6, 2021	Domain AdaptationScene Segmentation	CodeCode Available	0

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All datasets SUN-RGBD ScanNet StreetHazards MovieNet UAVid

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ICM	Mean IoU	50.6	—	Unverified
2	Index Network	Mean IoU	33.48	—	Unverified
3	DeepLab-LargeFOV	Mean IoU	32.08	—	Unverified
4	SegNet	Mean IoU	31.84	—	Unverified
5	FCN	Mean IoU	27.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	3DMV	Average Accuracy	75	—	Unverified
2	KPConv	3DIoU	68.6	—	Unverified
3	PointNet++	Average Accuracy	60.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mask2Anomaly	Open-mIoU	59.8	—	Unverified
2	LDN121-RPL	Open-mIoU	56.3	—	Unverified
3	LDN121-DenseHybrid	Open-mIoU	45.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NeighborNet	AP	71.9	—	Unverified
2	TranS4mer	AP	60.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNetFormer	Category mIoU	67.8	—	Unverified