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Semantic Segmentation

Papers

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Showing 6951–7000 of 14763 papers

TitleStatusHype
FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection—0
Introducing Geometry in Active Learning for Image Segmentation—0
Introducing Hann windows for reducing edge-effects in patch-based image segmentation—0
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation—0
Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset—0
Introduction to Camera Pose Estimation with Deep Learning—0
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation—0
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation—0
Computationally Efficient Wasserstein Loss for Structured Labels—0
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation—0
Learning to Track Instances without Video Annotations—0
A Waste Copper Granules Rating System Based on Machine Vision—0
FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks—0
Inverse Renormalization Group Transformation in Bayesian Image Segmentations—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation—0
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation—0
FoundPose: Unseen Object Pose Estimation with Foundation Features—0
Investigating Self-Supervised Methods for Label-Efficient Learning—0
3D Scene Parsing via Class-Wise Adaptation—0
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation—0
Semantic Segmentation of Seismic Images—0
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning—0
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation—0
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network—0
Foundation Models for Biomedical Image Segmentation: A Survey—0
Comprehensive Validation of Automated Whole Body Skeletal Muscle, Adipose Tissue, and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition—0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder—0
ACFNet: Attentional Class Feature Network for Semantic Segmentation—0
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation—0
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment—0
IoU is not submodular—0
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation—0
IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation—0
A Dynamic Keypoints Selection Network for 6DoF Pose Estimation—0
Learning to Segment Under Various Forms of Weak Supervision—0
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation—0
IPPON: Common Sense Guided Informative Path Planning for Object Goal Navigation—0
Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis—0
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation—0
Foundation AI Model for Medical Image Segmentation—0
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera—0
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields—0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
Irregular Convolutional Neural Networks—0
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models—0
Learning to segment with image-level supervision—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
Comprehensive Multi-Modal Interactions for Referring Image Segmentation—0
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees—0
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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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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