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Segmentation

Papers

Showing 23012325 of 13072 papers

TitleStatusHype
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic SegmentationCode1
Exploring Cross-Image Pixel Contrast for Semantic SegmentationCode1
Deep Active Learning for Axon-Myelin Segmentation on Histology DataCode1
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised LearningCode1
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRICode1
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal InterventionCode1
Exposing Semantic Segmentation Failures via Maximum Discrepancy CompetitionCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
Deep Instruction Tuning for Segment Anything ModelCode1
Causal Unsupervised Semantic SegmentationCode1
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic SegmentationCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Uncertainty-based graph convolutional networks for organ segmentation refinementCode1
F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated DrivingCode1
An Uncertainty-Driven GCN Refinement Strategy for Organ SegmentationCode1
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text DetectionCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing ImageryCode1
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound ScalingCode1
CC-Net: Image Complexity Guided Network Compression for Biomedical Image SegmentationCode1
Advanced Deep Networks for 3D Mitochondria Instance SegmentationCode1
DEAL: Difficulty-aware Active Learning for Semantic SegmentationCode1
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Benchmark Results

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