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Segmentation

Papers

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Showing 1576–1600 of 13072 papers

TitleStatusHype
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models—0
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image SegmentationCode3
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation—0
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition TasksCode3
Towards Flexible Visual Relationship Segmentation—0
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame PruningCode2
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation—0
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality CollaborationCode2
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
Perspectives: Comparison of Deep Learning Segmentation Models on Biophysical and Biomedical DataCode0
Improved 3D Whole Heart Geometry from Sparse CMR SlicesCode0
Ensemble architecture in polyp segmentationCode0
Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation TrainingCode0
Costal Cartilage Segmentation with Topology Guided Deformable Mamba: Method and Benchmark—0
Segment Using Just One Example—0
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic SegmentationCode2
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning—0
Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging—0
Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer DetectionCode1
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation LearningCode0
From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model—0
Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment—0
MacFormer: Semantic Segmentation with Fine Object Boundaries—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