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Segmentation

Papers

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Showing 1326–1350 of 13072 papers

TitleStatusHype
IRFusionFormer: Enhancing Pavement Crack Segmentation with RGB-T Fusion and Topological-Based LossCode1
Black-Box Segmentation of Electronic Medical Records—0
One Token to Seg Them All: Language Instructed Reasoning Segmentation in VideosCode2
Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration—0
Efficient Semantic Diffusion Architectures for Model Training on Synthetic EchocardiogramsCode0
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image SegmentationCode2
Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models—0
Search3D: Hierarchical Open-Vocabulary 3D Segmentation—0
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?—0
State-of-the-Art Periorbital Distance Prediction and Disease Classification Using Periorbital FeaturesCode0
A Surprisingly Simple Approach to Generalized Few-Shot Semantic SegmentationCode0
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control—0
Amodal Instance Segmentation with Diffusion Shape Prior Estimation—0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning—0
Self-supervised Pretraining for Cardiovascular Magnetic Resonance Cine SegmentationCode0
Global-Local Medical SAM Adaptor Based on Full Adaption—0
Shape-intensity knowledge distillation for robust medical image segmentationCode0
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular MorphologiesCode0
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis—0
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image SegmentationCode1
Multi-Model Ensemble Approach for Accurate Bi-Atrial Segmentation in LGE-MRI of Atrial Fibrillation Patients—0
Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors—0
VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus ImagesCode1
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentationCode0
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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