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 101–150 of 283 papers

TitleStatusHype
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image SegmentationCode1
Attention Discriminant Sampling for Point Clouds—0
Uni-3D: A Universal Model for Panoptic 3D Scene ReconstructionCode1
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New DomainsCode0
Efficient Movie Scene Detection using State-Space TransformersCode1
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point CloudsCode1
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation—0
Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation—0
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars—0
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic SegmentationCode1
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene SegmentationCode0
Autonomous Marker-less Rapid Aerial Grasping—0
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information—0
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS—0
Transformer-based Flood Scene Segmentation for Developing Countries—0
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention NetworkCode1
Point Cloud Recognition with Position-to-Structure Attention Transformers—0
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation—0
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud SegmentationCode1
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation—0
Introducing Intermediate Domains for Effective Self-Training during Test-TimeCode0
CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point Cloud LearningCode0
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations—0
Adversarial Style Augmentation for Domain Generalized Urban-Scene SegmentationCode0
Self-attention on Multi-Shifted Windows for Scene SegmentationCode0
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable FiltersCode2
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification—0
IBISCape: A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic EnvironmentsCode1
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You NeedCode1
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models—0
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D—0
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View RepresentationCode4
Scene Consistency Representation Learning for Video Scene SegmentationCode1
FIFO: Learning Fog-invariant Features for Foggy Scene SegmentationCode1
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene SegmentationCode1
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene SegmentationCode2
Test-time Adaptation with Slot-Centric ModelsCode1
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-LearningCode0
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention—0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
Shift-Memory Network for Temporal Scene Segmentation—0
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation—0
Boundary-aware Self-supervised Learning for Video Scene SegmentationCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
Exploring Event-driven Dynamic Context for Accident Scene SegmentationCode1
Mesh Convolution with Continuous Filters for 3D Surface ParsingCode1
Putting 3D Spatially Sparse Networks on a Diet—0
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds—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