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Segmentation

Papers

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Showing 8201–8250 of 13072 papers

TitleStatusHype
Image Segmentation Based on the Self-Balancing Mechanism in Virtual 3D Elastic Mesh—0
Image segmentation based on the hybrid total variation model and the K-means clustering strategy—0
Image Segmentation and Restoration Using Parametric Contours With Free Endpoints—0
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net—0
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans—0
Image Segmentation Algorithms Overview—0
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation—0
Attention-based Multi-modal Fusion Network for Semantic Scene Completion—0
Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification—0
Image Models for large-scale Object Detection and Classification—0
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function—0
Image Magnification Network for Vessel Segmentation in OCTA Images—0
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation—0
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation—0
Image Labeling with Markov Random Fields and Conditional Random Fields—0
Image-free single-pixel segmentation—0
Convexity Shape Prior for Level Set based Image Segmentation Method—0
Convexity Shape Constraints for Image Segmentation—0
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation—0
Attention-based Feature Decomposition-Reconstruction Network for Scene Text Detection—0
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images—0
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost—0
Image Decomposition Using a Robust Regression Approach—0
Image Co-skeletonization via Co-segmentation—0
Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation—0
Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation—0
Image Complexity Guided Network Compression for Biomedical Image Segmentation—0
ConUNETR: A Conditional Transformer Network for 3D Micro-CT Embryonic Cartilage Segmentation—0
Image-based Agarwood Resinous Area Segmentation using Deep Learning—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation—0
Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data—0
Contrastive Video-Language Segmentation—0
Illumination Invariant Foreground Object Segmentation using ForeGANs—0
Illumination-Aware Multi-Task GANs for Foreground Segmentation—0
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation—0
Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation—0
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation—0
IKEA-Manual: Seeing Shape Assembly Step by Step—0
Contrastive Rendering for Ultrasound Image Segmentation—0
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation—0
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme—0
Contrastive Re-localization and History Distillation in Federated CMR Segmentation—0
IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence—0
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels—0
_1DecNet+: A new architecture framework by _1 decomposition and iteration unfolding for sparse feature segmentation—0
Contrastive Predictive Coding for Anomaly Detection—0
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images—0
Identify the cells' nuclei based on the deep learning neural network—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