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 101125 of 283 papers

TitleStatusHype
Fully Convolutional Networks for Semantic SegmentationCode0
Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric SegmentationCode0
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather ConditionsCode0
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context InferenceCode0
CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point Cloud LearningCode0
Fast Scene Understanding for Autonomous DrivingCode0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
Parsing Natural Scenes and Natural Language with Recursive Neural NetworksCode0
Fast and Efficient: Mask Neural Fields for 3D Scene SegmentationCode0
One model to use them all: Training a segmentation model with complementary datasetsCode0
On Boosting Semantic Street Scene Segmentation with Weak SupervisionCode0
Path-Invariant Map NetworksCode0
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene SegmentationCode0
Example-Guided Style Consistent Image Synthesis from Semantic LabelingCode0
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and MotionCode0
End-to-end Learning of Driving Models from Large-scale Video DatasetsCode0
Handling new target classes in semantic segmentation with domain adaptationCode0
A Deep Siamese Network for Scene Detection in Broadcast VideosCode0
ODFNet: Using orientation distribution functions to characterize 3D point cloudsCode0
PDFNet: Pointwise Dense Flow Network for Urban-Scene SegmentationCode0
Efficient Yet Deep Convolutional Neural Networks for Semantic SegmentationCode0
Learning Rich Features from RGB-D Images for Object Detection and SegmentationCode0
Loci-Segmented: Improving Scene Segmentation LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICMMean IoU50.6Unverified
2Index NetworkMean IoU33.48Unverified
3DeepLab-LargeFOVMean IoU32.08Unverified
4SegNetMean IoU31.84Unverified
5FCNMean IoU27.39Unverified
#ModelMetricClaimedVerifiedStatus
13DMVAverage Accuracy75Unverified
2KPConv3DIoU68.6Unverified
3PointNet++Average Accuracy60.2Unverified
#ModelMetricClaimedVerifiedStatus
1Mask2AnomalyOpen-mIoU59.8Unverified
2LDN121-RPLOpen-mIoU56.3Unverified
3LDN121-DenseHybridOpen-mIoU45.8Unverified
#ModelMetricClaimedVerifiedStatus
1NeighborNetAP71.9Unverified
2TranS4merAP60.78Unverified
#ModelMetricClaimedVerifiedStatus
1UNetFormerCategory mIoU67.8Unverified