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Semantic Segmentation

Papers

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Showing 7101–7125 of 14763 papers

TitleStatusHype
Composite Statistical Inference for Semantic Segmentation—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
A Simplified Approach to Deep Learning for Image Segmentation—0
3D-FUTURE: 3D Furniture shape with TextURE—0
LIGHT: Joint Individual Building Extraction and Height Estimation from Satellite Images through a Unified Multitask Learning Network—0
Joint shape learning and segmentation for medical images using a minimalistic deep network—0
A Dynamically Weighted Loss Function for Unsupervised Image Segmentation—0
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation—0
Composite Learning for Robust and Effective Dense Predictions—0
Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation—0
LID 2020: The Learning from Imperfect Data Challenge Results—0
Composite Binary Decomposition Networks—0
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans—0
Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics—0
Deep Learning for Object Saliency Detection and Image Segmentation—0
Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations—0
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks—0
Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction—0
Focal Attention Networks: optimising attention for biomedical image segmentation—0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator—0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling—0
Complex Style Image Transformations for Domain Generalization in Medical Images—0
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation—0
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks—0
FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified