SOTAVerified|Agents Browse Leaderboard About

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 241–250 of 283 papers

Title	Date	Tasks	Status	Hype
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation	Nov 23, 2017	3D Instance Segmentation3D Object Detection	CodeCode Available	0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding	Apr 4, 2023	Autonomous DrivingDomain Adaptation	CodeCode Available	0
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation	Aug 15, 2019	Scene SegmentationSegmentation	CodeCode Available	0
Fully Convolutional Networks for Semantic Segmentation	May 20, 2016	Real-Time Semantic SegmentationScene Segmentation	CodeCode Available	0
Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation	Apr 1, 2021	Scene SegmentationSegmentation	CodeCode Available	0
Handling new target classes in semantic segmentation with domain adaptation	Apr 2, 2020	Domain AdaptationScene Segmentation	CodeCode Available	0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation	Feb 17, 2022	2D Object DetectionAutonomous Driving	CodeCode Available	0
Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation	Jul 26, 2017	GPUImage Segmentation	CodeCode Available	0
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames	Aug 15, 2018	Scene SegmentationSegmentation	CodeCode Available	0
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation	Nov 25, 2022	Contrastive LearningDepth Estimation	CodeCode Available	0

Show:10 25 50

← PrevPage 25 of 29Next →

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