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
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D—0
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing—0
Online Self-supervised Scene Segmentation for Micro Aerial Vehicles—0
OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views—0
Optical Flow with Semantic Segmentation and Localized Layers—0
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification—0
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation—0
3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation—0
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation—0
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds—0
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization—0
Pedestrian Detection aided by Deep Learning Semantic Tasks—0
Point Cloud Based Scene Segmentation: A Survey—0
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
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene SegmentationCode0
Example-Guided Style Consistent Image Synthesis from Semantic LabelingCode0
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
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene SegmentationCode0
The RGB-D Triathlon: Towards Agile Visual Toolboxes for RobotsCode0
Fast and Efficient: Mask Neural Fields for 3D Scene SegmentationCode0
Fast Scene Understanding for Autonomous DrivingCode0
Point-Voxel CNN for Efficient 3D Deep LearningCode0
MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and MotionCode0
Boundary-Aware Feature Propagation for Scene SegmentationCode0
Semantic Stereo for Incidental Satellite ImagesCode0
Self-attention on Multi-Shifted Windows for Scene SegmentationCode0
Seamless Scene SegmentationCode0
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance SegmentationCode0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingCode0
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic SegmentationCode0
Fully Convolutional Networks for Semantic SegmentationCode0
Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric SegmentationCode0
Handling new target classes in semantic segmentation with domain adaptationCode0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
Efficient Yet Deep Convolutional Neural Networks for Semantic SegmentationCode0
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel FramesCode0
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-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