SOTAVerified

Segmentation

Papers

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Showing 7951–8000 of 13072 papers

TitleStatusHype
OCTOPUS -- optical coherence tomography plaque and stent analysis software—0
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network—0
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation—0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation—0
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation—0
CDTS: Collaborative Detection, Tracking, and Segmentation for Online Multiple Object Segmentation in Videos—0
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything—0
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes—0
Multi-task 3D building understanding with multi-modal pretraining—0
OCTID: Optical Coherence Tomography Image Database—0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition—0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors—0
Multi-Task Deep Convolutional Neural Network for the Segmentation of Type B Aortic Dissection—0
An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation—0
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
FAIRS -- Soft Focus Generator and Attention for Robust Object Segmentation from Extreme Points—0
Advanced Image Segmentation Techniques for Neural Activity Detection via C-fos Immediate Early Gene Expression—0
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data—0
Multi-task Fusion for Efficient Panoptic-Part Segmentation—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data—0
OCR Error Correction Using Character Correction and Feature-Based Word Classification—0
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans—0
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images—0
Multitask Learning For Different Subword Segmentations In Neural Machine Translation—0
Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans—0
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography—0
OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation—0
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation—0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation—0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets—0
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation—0
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments—0
Real-Time Segmentation Networks should be Latency Aware—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—0
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation—0
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning—0
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets—0
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression—0
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification—0
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks—0
Multi-Task Self-Supervised Learning for Image Segmentation Task—0
FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography—0
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning—0
Multi-temporal crack segmentation in concrete structure using deep learning approaches—0
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans—0
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation—0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation—0
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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