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

Showing 176200 of 283 papers

TitleStatusHype
Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents0
Layered image motion with explicit occlusions, temporal consistency, and depth ordering0
Layered Interpretation of Street View Images0
Layered RGBD Scene Flow Estimation0
SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection0
Learning Representation in Colour Conversion0
Learning Similarity Metrics for Dynamic Scene Segmentation0
Tackling domain generalization for out-of-distribution endoscopic imaging0
Long-Video Audio Synthesis with Multi-Agent Collaboration0
Machine Learning for Visual Navigation of Unmanned Ground Vehicles0
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation0
Taskology: Utilizing Task Relations at Scale0
Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization0
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation0
MirageRoom: 3D Scene Segmentation with 2D Pre-trained Models by Mirage Projection0
Modeling Urban Scenes From Pointclouds0
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction0
Temporally coherent 4D reconstruction of complex dynamic scenes0
Multilayer Dense Connections for Hierarchical Concept Classification0
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation0
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation0
Temporal Propagation of Asymmetric Feature Pyramid for Surgical Scene Segmentation0
Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation0
Neuron-level Selective Context Aggregation for Scene Segmentation0
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICMMean IoU50.6Unverified
2Index NetworkMean IoU33.48Unverified
3DeepLab-LargeFOVMean IoU32.08Unverified
4SegNetMean IoU31.84Unverified
5FCNMean IoU27.39Unverified
#ModelMetricClaimedVerifiedStatus
13DMVAverage Accuracy75Unverified
2KPConv3DIoU68.6Unverified
3PointNet++Average Accuracy60.2Unverified
#ModelMetricClaimedVerifiedStatus
1Mask2AnomalyOpen-mIoU59.8Unverified
2LDN121-RPLOpen-mIoU56.3Unverified
3LDN121-DenseHybridOpen-mIoU45.8Unverified
#ModelMetricClaimedVerifiedStatus
1NeighborNetAP71.9Unverified
2TranS4merAP60.78Unverified
#ModelMetricClaimedVerifiedStatus
1UNetFormerCategory mIoU67.8Unverified