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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–283 of 283 papers

TitleStatusHype
Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral ImagesCode0
ODFNet: Using orientation distribution functions to characterize 3D point cloudsCode0
Scene Parsing via Integrated Classification Model and Variance-Based RegularizationCode0
On Boosting Semantic Street Scene Segmentation with Weak SupervisionCode0
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
One model to use them all: Training a segmentation model with complementary datasetsCode0
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational AutoencodersCode0
Toward Achieving Robust Low-Level and High-Level Scene ParsingCode0
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy ImagesCode0
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-LearningCode0
Index NetworkCode0
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New DomainsCode0
Dual Attention Network for Scene SegmentationCode0
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context InferenceCode0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
End-to-end Learning of Driving Models from Large-scale Video DatasetsCode0
Surgical Scene Segmentation by Transformer With Asymmetric Feature EnhancementCode0
Parsing Natural Scenes and Natural Language with Recursive Neural NetworksCode0
Towards Surgical Context Inference and Translation to GesturesCode0
Path-Invariant Map NetworksCode0
PDFNet: Pointwise Dense Flow Network for Urban-Scene SegmentationCode0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion ModelsCode0
A Deep Siamese Network for Scene Detection in Broadcast VideosCode0
Learning Rich Features from RGB-D Images for Object Detection and SegmentationCode0
Dirty Pixels: Towards End-to-End Image Processing and PerceptionCode0
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene SegmentationCode0
Loci-Segmented: Improving Scene Segmentation LearningCode0
Adversarial Style Augmentation for Domain Generalized Urban-Scene SegmentationCode0
DepthComp: real-time depth image completion based on prior semantic scene segmentationCode0
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All datasetsSUN-RGBDScanNetStreetHazardsMovieNetUAVid

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICMMean IoU50.6—Unverified
2Index NetworkMean IoU33.48—Unverified
3DeepLab-LargeFOVMean IoU32.08—Unverified
4SegNetMean IoU31.84—Unverified
5FCNMean IoU27.39—Unverified
#ModelMetricClaimedVerifiedStatus
13DMVAverage Accuracy75—Unverified
2KPConv3DIoU68.6—Unverified
3PointNet++Average Accuracy60.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Mask2AnomalyOpen-mIoU59.8—Unverified
2LDN121-RPLOpen-mIoU56.3—Unverified
3LDN121-DenseHybridOpen-mIoU45.8—Unverified
#ModelMetricClaimedVerifiedStatus
1NeighborNetAP71.9—Unverified
2TranS4merAP60.78—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetFormerCategory mIoU67.8—Unverified