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 201–250 of 283 papers

TitleStatusHype
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation—0
ODFNet: Using orientation distribution functions to characterize 3D point cloudsCode0
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data—0
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational AutoencodersCode0
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation—0
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene SegmentationCode0
Taskology: Utilizing Task Relations at Scale—0
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes—0
Indoor Point Cloud Segmentation Using Iterative Gaussian Mapping and Improved Model Fitting—0
Real-Time Segmentation Networks should be Latency Aware—0
Handling new target classes in semantic segmentation with domain adaptationCode0
A Robotic 3D Perception System for Operating Room Environment Awareness—0
Multilayer Dense Connections for Hierarchical Concept Classification—0
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data—0
Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms—0
Boundary-Aware Feature Propagation for Scene SegmentationCode0
An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures—0
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic SegmentationCode0
Index NetworkCode0
DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation—0
Interpretability Beyond Classification Output: Semantic Bottleneck Networks—0
Point-Voxel CNN for Efficient 3D Deep LearningCode0
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things—0
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
Scene Parsing via Integrated Classification Model and Variance-Based RegularizationCode0
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling—0
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation—0
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing—0
Seamless Scene SegmentationCode0
DSNet: An Efficient CNN for Road Scene Segmentation—0
Relation-Aware Global Attention for Person Re-identificationCode0
The RGB-D Triathlon: Towards Agile Visual Toolboxes for RobotsCode0
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Value of Temporal Dynamics Information in Driving Scene Segmentation—0
On Boosting Semantic Street Scene Segmentation with Weak SupervisionCode0
Toward Achieving Robust Low-Level and High-Level Scene ParsingCode0
Path-Invariant Map NetworksCode0
Semantic Stereo for Incidental Satellite ImagesCode0
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation—0
Dual Attention Network for Scene SegmentationCode0
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel FramesCode0
Online Self-supervised Scene Segmentation for Micro Aerial Vehicles—0
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene SegmentationCode0
Real-time Progressive 3D Semantic Segmentation for Indoor Scene—0
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene SegmentationCode0
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance SegmentationCode0
Neuron-level Selective Context Aggregation for Scene Segmentation—0
A Fully Convolutional Tri-branch Network (FCTN) for Domain Adaptation—0
Modeling Urban Scenes From Pointclouds—0
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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