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 201225 of 283 papers

TitleStatusHype
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
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
Handling new target classes in semantic segmentation with domain adaptationCode0
A Robotic 3D Perception System for Operating Room Environment Awareness0
Multilayer Dense Connections for Hierarchical Concept Classification0
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data0
Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms0
Boundary-Aware Feature Propagation for Scene SegmentationCode0
An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures0
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic SegmentationCode0
Index NetworkCode0
DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation0
Interpretability Beyond Classification Output: Semantic Bottleneck Networks0
Point-Voxel CNN for Efficient 3D Deep LearningCode0
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things0
Example-Guided Style Consistent Image Synthesis from Semantic LabelingCode0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
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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