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Segmentation

Papers

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Showing 4201–4225 of 13072 papers

TitleStatusHype
Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma SegmentationCode0
Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer settingCode0
A Simple HMM with Self-Supervised Representations for Phone Segmentation—0
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation—0
An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation—0
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation—0
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM—0
Multi-Scale Grouped Prototypes for Interpretable Semantic SegmentationCode0
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images—0
PSTNet: Enhanced Polyp Segmentation with Multi-scale Alignment and Frequency Domain Integration—0
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion SegmentationCode0
Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism—0
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation—0
Generalization Boosted Adapter for Open-Vocabulary Segmentation—0
VLTP: Vision-Language Guided Token Pruning for Task-Oriented SegmentationCode0
Enhanced Small Ship Segmentation with Optimized ScatYOLOv8+CBAM on Embedded Systems—0
Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding—0
UNIT: Unsupervised Online Instance Segmentation through Time—0
Bayesian Self-Training for Semi-Supervised 3D Segmentation—0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image SegmentationCode0
AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ SegmentationCode0
An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting—0
Open Source Infrastructure for Automatic Cell Segmentation—0
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models—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