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Segmentation

Papers

Showing 28762900 of 13072 papers

TitleStatusHype
Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour AwarenessCode1
Boundary-Enhanced Co-Training for Weakly Supervised Semantic SegmentationCode1
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-IdentificationCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
GFF: Gated Fully Fusion for Semantic SegmentationCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and wordsCode1
Co-segmentation Inspired Attention Module for Video-based Computer Vision TasksCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
Boundary Difference Over Union Loss For Medical Image SegmentationCode1
COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered ScenesCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
Global2Local: Efficient Structure Search for Video Action SegmentationCode1
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural RobotsCode1
ContrastMask: Contrastive Learning to Segment Every ThingCode1
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image SegmentationCode1
Global Aggregation then Local Distribution for Scene ParsingCode1
Non-local U-Net for Biomedical Image SegmentationCode1
Correlation-Aware Mutual Learning for Semi-supervised Medical Image SegmentationCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 PatientsCode1
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image HarmonizationCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One DayCode1
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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