SOTAVerified

Segmentation

Papers

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Showing 8226–8250 of 13072 papers

TitleStatusHype
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance—0
Our Neural Machine Translation Systems for WAT 2019—0
Outline-Guided Object Inpainting with Diffusion Models—0
Overcoming Resistance: The Normalization of an Amazonian Tribal Language—0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems—0
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation—0
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images—0
OSIS: Efficient One-stage Network for 3D Instance Segmentation—0
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions—0
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Cascaded V-Net using ROI masks for brain tumor segmentation—0
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification—0
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images—0
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy—0
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation—0
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation—0
A Novel Method for Automatic Segmentation of Brain Tumors in MRI Images—0
Exploring Context with Deep Structured models for Semantic Segmentation—0
Exploring and Exploiting Diversity for Image Segmentation—0
Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge—0
Cascaded Interactional Targeting Network for Egocentric Video Analysis—0
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction—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