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 176–200 of 283 papers

TitleStatusHype
Shift-Memory Network for Temporal Scene Segmentation—0
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation—0
Putting 3D Spatially Sparse Networks on a Diet—0
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds—0
Hierarchical Knowledge Distillation for Dialogue Sequence Labeling—0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion—0
FBNet: Feature Balance Network for Urban-Scene Segmentation—0
2020 CATARACTS Semantic Segmentation Challenge—0
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data—0
Boundary-aware Pre-training for Video Scene Segmentation—0
Predicting Driver Self-Reported Stress by Analyzing the Road Scene—0
PDFNet: Pointwise Dense Flow Network for Urban-Scene SegmentationCode0
A Multimodal Framework for Video Ads Understanding—0
Semantic Scene Segmentation for Robotics Applications—0
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene SegmentationCode0
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos—0
Potential Convolution: Embedding Point Clouds into Potential Fields—0
Detecting Scenes in Fiction: A new Segmentation Task—0
Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric SegmentationCode0
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning—0
Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents—0
Global-Local Propagation Network for RGB-D Semantic Segmentation—0
Learning Representation in Colour Conversion—0
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization—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