SOTAVerified

Segmentation

Papers

Showing 21262150 of 13072 papers

TitleStatusHype
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysisCode1
Annotation-efficient learning for OCT segmentationCode1
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic SegmentationCode1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
ABANet: Attention boundary-aware network for image segmentationCode1
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic MemoryCode1
Improving Across-Dataset Brain Tissue Segmentation Using TransformerCode1
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object SegmentationCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
Importance Driven Continual Learning for Segmentation Across DomainsCode1
Implicit Integration of Superpixel Segmentation into Fully Convolutional NetworksCode1
Implicit Motion Handling for Video Camouflaged Object DetectionCode1
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass SegmentationCode1
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
Incremental Learning in Semantic Segmentation from Image LabelsCode1
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel ImagesCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak SupervisionCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised LearningCode1
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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