SOTAVerified

Segmentation

Papers

Showing 23262350 of 13072 papers

TitleStatusHype
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
Deep Instruction Tuning for Segment Anything ModelCode1
Deeper or Wider Networks of Point Clouds with Self-attention?Code1
Fast Point TransformerCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal ImagesCode1
Fast Video Object Segmentation using the Global Context ModuleCode1
CGA-Net: Category Guided Aggregation for Point Cloud Semantic SegmentationCode1
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutationCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
Feature Pyramid Network for Multi-Class Land SegmentationCode1
CellSeg1: Robust Cell Segmentation with One Training ImageCode1
FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy ClassificationCode1
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous DrivingCode1
Deep ContourFlow: Advancing Active Contours with Deep LearningCode1
Federated nnU-Net for Privacy-Preserving Medical Image SegmentationCode1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentationCode1
Fed-MUnet: Multi-modal Federated Unet for Brain Tumor SegmentationCode1
Few-Shot Domain Adaptation with Polymorphic TransformersCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
Deep 3D Vessel Segmentation based on Cross Transformer NetworkCode1
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRICode1
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
Deep Active Learning for Axon-Myelin Segmentation on Histology DataCode1
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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