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Semantic Segmentation

Papers

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Showing 7901–7950 of 14763 papers

TitleStatusHype
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Combined Approach for Image Segmentation—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation—0
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Combinatorial Energy Learning for Image Segmentation—0
Adversarial Networks for the Detection of Aggressive Prostate Cancer—0
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation—0
Low-light Enhancement Method Based on Attention Map Net—0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation—0
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation—0
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
Combinatorial clustering and the beta negative binomial process—0
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI—0
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model—0
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis—0
Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation—0
A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation—0
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation—0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation—0
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation—0
LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection—0
Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code—0
A Self-Supervised Approach to Land Cover Segmentation—0
Feedbackward Decoding for Semantic Segmentation—0
Feedback U-net for Cell Image Segmentation—0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging—0
Colour augmentation for improved semi-supervised semantic segmentation—0
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation—0
LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images—0
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS—0
Adversarial Mutual Leakage Network for Cell Image Segmentation—0
Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation—0
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation—0
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation—0
Feedback Chain Network For Hippocampus Segmentation—0
Feedback Attention for Cell Image Segmentation—0
LudVision -- Remote Detection of Exotic Invasive Aquatic Floral Species using Drone-Mounted Multispectral Data—0
LULC classification by semantic segmentation of satellite images using FastFCN—0
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification—0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation—0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets—0
Lung Diseases Image Segmentation using Faster R-CNNs—0
Lung image segmentation by generative adversarial networks—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation—0
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation—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
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