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Segmentation

Papers

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Showing 6451–6500 of 13072 papers

TitleStatusHype
KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation—0
k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge—0
K-means for unsupervised instance segmentation using a self-supervised transformer—0
K-means segmentation based-on lab color space for embryo detection in incubated egg—0
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation—0
Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation—0
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study—0
From Pixels to Images: Deep Learning Advances in Remote Sensing Image Semantic Segmentation—0
From Open-Vocabulary to Vocabulary-Free Semantic Segmentation—0
Knowledge Adaptation for Efficient Semantic Segmentation—0
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition—0
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images—0
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation—0
From Image-level to Pixel-level Labeling with Convolutional Networks—0
From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments—0
Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis—0
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation—0
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders—0
Are Visual Recognition Models Robust to Image Compression?—0
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds—0
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy—0
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation—0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments—0
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation—0
K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images—0
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation—0
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels—0
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors—0
From Explanations to Segmentation: Using Explainable AI for Image Segmentation—0
A Revisit to the Decoder for Camouflaged Object Detection—0
From colouring-in to pointillism: revisiting semantic segmentation supervision—0
Label Calibration for Semantic Segmentation Under Domain Shift—0
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling—0
Labeled Morphological Segmentation with Semi-Markov Models—0
Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views—0
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy—0
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation—0
From CNN to Transformer: A Review of Medical Image Segmentation Models—0
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring—0
Label-efficient Multi-organ Segmentation Method with Diffusion Model—0
From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling—0
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach—0
CLiSA: A Hierarchical Hybrid Transformer Model using Orthogonal Cross Attention for Satellite Image Cloud Segmentation—0
Adversarial normalization for multi domain image segmentation—0
Accelerating the creation of instance segmentation training sets through bounding box annotation—0
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks—0
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction—0
Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition—0
Label fusion and training methods for reliable representation of inter-rater uncertainty—0
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions—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