SOTAVerified

Segmentation

Papers

Showing 751775 of 13072 papers

TitleStatusHype
Auto-Compressing Subset Pruning for Semantic Image SegmentationCode1
CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truthsCode1
Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition AnalysisCode1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
Annotation-efficient deep learning for automatic medical image segmentationCode1
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal ModelCode1
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learningCode1
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networksCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image SegmentationCode1
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRICode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
Automated segmentation and morphological characterization of placental histology images based on a single labeled imageCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETRCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
AISFormer: Amodal Instance Segmentation with TransformerCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networksCode1
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemCode1
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial AttentionCode1
CT Liver Segmentation via PVT-based Encoding and Refined DecodingCode1
A Joint Graph and Image Convolution Network for Automatic Brain Tumor SegmentationCode1
Autoencoder-based background reconstruction and foreground segmentation with background noise estimationCode1
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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