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Segmentation

Papers

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Showing 6801–6850 of 13072 papers

TitleStatusHype
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages—0
Learning to Segment Skin Lesions from Noisy Annotations—0
Learning to Segment Under Various Forms of Weak Supervision—0
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation—0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI—0
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?—0
Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation—0
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network—0
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees—0
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Click Carving: Segmenting Objects in Video with Point Clicks—0
Automatic Segmentation of Fluorescence Lifetime Microscopy Images of Cells Using Multi-Resolution Community Detection—0
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation—0
Adversarially robust segmentation models learn perceptually-aligned gradients—0
Forest and Water Bodies Segmentation Through Satellite Images Using U-Net—0
Expert-Adaptive Medical Image Segmentation—0
Foreground segmentation based on multi-resolution and matting—0
Learning Wall Segmentation in 3D Vessel Trees using Sparse Annotations—0
Foreground object segmentation in RGB-D data implemented on GPU—0
Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes—0
Deep Learning for Multi-View Ultrasonic Image Fusion—0
Foreground Clustering for Joint Segmentation and Localization in Videos and Images—0
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation—0
Foreground-Background Segmentation Based on Codebook and Edge Detector—0
Learning with Hierarchical Complement Objective—0
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference—0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation—0
Deep Learning for Semantic Part Segmentation with High-Level Guidance—0
Amodal Segmentation for Laparoscopic Surgery Video Instruments—0
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images—0
Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images—0
Learn the new, keep the old: Extending pretrained models with new anatomy and images—0
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes—0
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning—0
Learn to Segment Organs with a Few Bounding Boxes—0
Active Image Segmentation Propagation—0
Learn to segment single cells with deep distance estimator and deep cell detector—0
FoodMem: Near Real-time and Precise Food Video Segmentation—0
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging—0
Left/Right Hand Segmentation in Egocentric Videos—0
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT—0
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model—0
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs—0
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning—0
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion—0
FOMTrace: Interactive Video Segmentation By Image Graphs and Fuzzy Object Models—0
FODVid: Flow-guided Object Discovery in Videos—0
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation—0
Class-wise Dynamic Graph Convolution for Semantic 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