SOTAVerified

Segmentation

Papers

Showing 12261250 of 13072 papers

TitleStatusHype
Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging0
LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images0
Segmentation of Pediatric Brain Tumors using a Radiologically informed, Deep Learning Cascade0
SAMReg: SAM-enabled Image Registration with ROI-based Correspondence0
LESS: Label-Efficient and Single-Stage Referring 3D SegmentationCode1
Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacksCode0
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation0
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation0
Temporal-Enhanced Multimodal Transformer for Referring Multi-Object Tracking and Segmentation0
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation0
Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation0
UniCoN: Universal Conditional Networks for Multi-Age Embryonic Cartilage Segmentation with Sparsely Annotated Data0
Gradient Map-Assisted Head and Neck Tumor Segmentation: A Pre-RT to Mid-RT Approach in MRI-Guided RadiotherapyCode0
Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation0
ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors0
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation0
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation0
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation0
Order-aware Interactive Segmentation0
Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation0
MANet: Fine-Tuning Segment Anything Model for Multimodal Remote Sensing Semantic Segmentation0
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation0
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image SegmentationCode0
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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