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

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Showing 151–200 of 283 papers

TitleStatusHype
Point Cloud Recognition with Position-to-Structure Attention Transformers—0
Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation—0
Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field—0
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data—0
PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models—0
Potential Convolution: Embedding Point Clouds into Potential Fields—0
Predicting Driver Self-Reported Stress by Analyzing the Road Scene—0
Predicting Multiple Structured Visual Interpretations—0
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations—0
ThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation—0
Putting 3D Spatially Sparse Networks on a Diet—0
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS—0
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV—0
Real-time Progressive 3D Semantic Segmentation for Indoor Scene—0
Reducing Label Dependency for Underwater Scene Understanding: A Survey of Datasets, Techniques and Applications—0
ResearchDoom and CocoDoom: Learning Computer Vision with Games—0
Multimodal Fusion and Coherence Modeling for Video Topic Segmentation—0
RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation—0
Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models—0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion—0
Salient Object Detection: A Survey—0
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes—0
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing—0
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation—0
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos—0
A Fully-Connected Layered Model of Foreground and Background Flow—0
A Fully Convolutional Tri-branch Network (FCTN) for Domain Adaptation—0
Urban Scene Segmentation with Laser-Constrained CRFs—0
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation—0
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation—0
A Multimodal Framework for Video Ads Understanding—0
An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures—0
Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis—0
A Robotic 3D Perception System for Operating Room Environment Awareness—0
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation—0
Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning—0
Attention Discriminant Sampling for Point Clouds—0
Automatic video scene segmentation based on spatial-temporal clues and rhythm—0
Autonomous Marker-less Rapid Aerial Grasping—0
Activation-wise Propagation: A Universal Strategy to Break Timestep Constraints in Spiking Neural Networks for 3D Data Processing—0
Scene-Segmentation-Based Exposure Compensation for Tone Mapping of High Dynamic Range Scenes—0
Transformer-based Flood Scene Segmentation for Developing Countries—0
Boundary-aware Pre-training for Video Scene Segmentation—0
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels—0
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection—0
Segmenting Scenes by Matching Image Composites—0
Classification Drives Geographic Bias in Street Scene Segmentation—0
Segment-Tree Based Cost Aggregation for Stereo Matching—0
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation—0
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars—0
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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