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Segmentation

Papers

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Showing 4201–4225 of 13072 papers

TitleStatusHype
SAM3D: Segment Anything in 3D ScenesCode3
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Volumetric medical image segmentation through dual self-distillation in U-shaped networksCode0
A Vessel-Segmentation-Based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis—0
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Enhancing Point Annotations with Superpixel and Confidence Learning Guided for Improving Semi-Supervised OCT Fluid Segmentation—0
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsCode1
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation—0
3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPWCode1
Evolution of Efficient Symbolic Communication Codes—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image SegmentationCode1
TransRUPNet for Improved Polyp SegmentationCode0
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
Segment Anything Meets Semantic Communication—0
Morphology Edge Attention Network and Optimal Geometric Matching Connection model for vascular segmentation—0
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast LearningCode1
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling—0
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model—0
Transformer-based Annotation Bias-aware Medical Image SegmentationCode0
Pre-Training Auto-Generated Volumetric Shapes for 3D Medical Image SegmentationCode1
LATTE: Lattice ATTentive Encoding for Character-based Word SegmentationCode0
Reflection Invariance Learning for Few-shot Semantic Segmentation—0
Overview of Deep Learning Methods for Retinal Vessel Segmentation—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