SOTAVerified

Segmentation

Papers

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Showing 12026–12050 of 13072 papers

TitleStatusHype
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion SegmentationCode0
Constrained domain adaptation for Image segmentationCode0
Minimizing Supervision for Free-space SegmentationCode0
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based CamerasCode0
Learning Deconvolution Network for Semantic SegmentationCode0
Attention Guided Network for Retinal Image SegmentationCode0
Learning deep structured active contours end-to-endCode0
Learning Dilation Factors for Semantic Segmentation of Street ScenesCode0
Constrained-CNN losses for weakly supervised segmentationCode0
Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology SegmentationCode0
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory RequirementsCode0
Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labelsCode0
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency TransferCode0
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time SeriesCode0
ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate ParticlesCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
GLS: Geometry-aware 3D Language Gaussian SplattingCode0
Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic ImagesCode0
GMM-Based Hidden Markov Random Field for Color Image and 3D Volume SegmentationCode0
Efficient Model Monitoring for Quality Control in Cardiac Image SegmentationCode0
Difference of Anisotropic and Isotropic TV for Segmentation under Blur and Poisson NoiseCode0
GMT: Guided Mask Transformer for Leaf Instance SegmentationCode0
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesCode0
Efficient, high-performance pancreatic segmentation using multi-scale feature extractionCode0
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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