SOTAVerified

Segmentation

Papers

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Showing 3401–3450 of 13072 papers

TitleStatusHype
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery—0
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement LearningCode1
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge—0
Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas—0
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions—0
Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge—0
A Deeply Supervised Semantic Segmentation Method Based on GAN—0
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time SeriesCode0
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification—0
Ablation Study to Clarify the Mechanism of Object Segmentation in Multi-Object Representation Learning—0
Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Certification of Deep Learning Models for Medical Image SegmentationCode0
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation—0
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models—0
Fully Automatic Segmentation of Gross Target Volume and Organs-at-Risk for Radiotherapy Planning of Nasopharyngeal CarcinomaCode0
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation—0
OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation—0
CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation—0
Shifting More Attention to Breast Lesion Segmentation in Ultrasound VideosCode1
Extending CAM-based XAI methods for Remote Sensing Imagery SegmentationCode1
CoralVOS: Dataset and Benchmark for Coral Video Segmentation—0
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
Quantum Image Segmentation Based on Grayscale Morphology—0
The Optimal use of Segmentation for Sampling CalorimetersCode0
You Only Look at Once for Real-time and Generic Multi-TaskCode2
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
Towards Robust Cardiac Segmentation using Graph Convolutional NetworksCode1
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation—0
Efficient Remote Sensing Segmentation With Generative Adversarial Transformer—0
STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery—0
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
Segment Any Building—0
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor SegmentationCode0
Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial AppendageCode1
A quantum moving target segmentation algorithm for grayscale video—0
Completing Visual Objects via Bridging Generation and Segmentation—0
Propagating Semantic Labels in Video Data—0
An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning StrategyCode0
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation—0
Pubic Symphysis-Fetal Head Segmentation Using Pure Transformer with Bi-level Routing AttentionCode0
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology—0
SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time Echocardiograms with Self- and Weakly-Supervised LearningCode0
Benefits of mirror weight symmetry for 3D mesh segmentation in biomedical applications—0
YOLOR-Based Multi-Task LearningCode5
A Foundation Model for General Moving Object Segmentation in Medical ImagesCode0
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect SegmentationCode0
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet PerformanceCode2
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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