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 101125 of 283 papers

TitleStatusHype
Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation0
Modeling Urban Scenes From Pointclouds0
Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning0
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation0
Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization0
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars0
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees0
Global-Local Propagation Network for RGB-D Semantic Segmentation0
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation0
Introducing Intermediate Domains for Effective Self-Training during Test-Time0
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation0
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation0
Hierarchical Knowledge Distillation for Dialogue Sequence Labeling0
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data0
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction0
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation0
Image Synthesis with Class-Aware Semantic Diffusion Models for Surgical Scene Segmentation0
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things0
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation0
Improved Convex Decomposition with Ensembling and Boolean Primitives0
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization0
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information0
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections0
Individuation of 3D perceptual units from neurogeometry of binocular cells0
FBNet: Feature Balance Network for Urban-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