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 176200 of 283 papers

TitleStatusHype
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene SegmentationCode1
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective WhiteningCode1
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning0
Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents0
Global-Local Propagation Network for RGB-D Semantic Segmentation0
Simplifying Object Segmentation with PixelLib LibraryCode2
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization0
Learning Representation in Colour Conversion0
Point TransformerCode1
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation0
ODFNet: Using orientation distribution functions to characterize 3D point cloudsCode0
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data0
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational AutoencodersCode0
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation0
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace DetectionCode1
Scene Segmentation with Dual Relation-aware Attention NetworkCode1
Learning and Reasoning with the Graph Structure Representation in Robotic SurgeryCode1
Learning Physical Graph Representations from Visual ScenesCode1
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation0
Taskology: Utilizing Task Relations at Scale0
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes0
Indoor Point Cloud Segmentation Using Iterative Gaussian Mapping and Improved Model Fitting0
Real-Time Segmentation Networks should be Latency Aware0
A Local-to-Global Approach to Multi-modal Movie Scene SegmentationCode1
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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