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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 131–140 of 283 papers

Title	Date	Tasks	Status	Hype
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models	Jun 22, 2022	Computational EfficiencyRoad Segmentation	—Unverified	0
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D	Jun 7, 2022	Inductive BiasNeRF	—Unverified	0
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation	May 26, 2022	3D Multi-Object Tracking3D Object Detection	CodeCode Available	4
Scene Consistency Representation Learning for Video Scene Segmentation	May 11, 2022	Data AugmentationInductive Bias	CodeCode Available	1
Co-Teaching for Unsupervised Domain Adaptation and Expansion	Apr 4, 2022	Domain Adaptationimage-classification	CodeCode Available	0
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation	Apr 4, 2022	Domain AdaptationFoggy Scene Segmentation	CodeCode Available	1
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation	Mar 29, 2022	Contrastive LearningRelation	CodeCode Available	1
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation	Mar 29, 2022	Instance SegmentationNeRF	CodeCode Available	2
Test-time Adaptation with Slot-Centric Models	Mar 21, 2022	image-classificationImage Classification	CodeCode Available	1
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning	Mar 19, 2022	Autonomous VehiclesDecoder	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