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Segmentation

Papers

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Showing 9651–9675 of 13072 papers

TitleStatusHype
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation—0
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation—0
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation—0
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images—0
Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation—0
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds—0
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation—0
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation—0
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation—0
Self-Regulation for Semantic Segmentation—0
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation—0
Self-semantic contour adaptation for cross modality brain tumor segmentation—0
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data—0
Self-Supervised Audio-Visual Co-Segmentation—0
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images—0
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation—0
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation—0
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy—0
Self-Supervised Domain Mismatch Estimation for Autonomous Perception—0
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection—0
Self-Supervised Image Representation Learning with Geometric Set Consistency—0
Self-Supervised Instance Segmentation by Grasping—0
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach—0
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified