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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
Global-Local Propagation Network for RGB-D Semantic Segmentation	Jan 26, 2021	DecoderScene Segmentation	—Unverified	0
Simplifying Object Segmentation with PixelLib Library	Jan 20, 2021	Image ClassificationInstance Segmentation	CodeCode Available	2
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization	Jan 1, 2021	Representation LearningScene Segmentation	—Unverified	0
Learning Representation in Colour Conversion	Jan 1, 2021	image-classificationImage Classification	—Unverified	0
Point Transformer	Dec 16, 2020	3D Part Segmentation3D Point Cloud Classification	CodeCode Available	1
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation	Dec 9, 2020	DecoderDomain Adaptation	—Unverified	0
ODFNet: Using orientation distribution functions to characterize 3D point clouds	Dec 8, 2020	3D Part SegmentationScene Segmentation	CodeCode Available	0
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data	Nov 18, 2020	3D geometry3D Semantic Scene Completion	—Unverified	0
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders	Sep 30, 2020	image-classificationImage Classification	CodeCode Available	0
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation	Sep 15, 2020	Scene SegmentationSegmentation	—Unverified	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