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Segmentation

Papers

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Showing 6351–6400 of 13072 papers

TitleStatusHype
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model—0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
Meta Compositional Referring Expression Segmentation—0
Scale-Equivariant UNet for Histopathology Image Segmentation—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation—0
Are Visual Recognition Models Robust to Image Compression?—0
Split, Merge, and Refine: Fitting Tight Bounding Boxes via Over-Segmentation and Iterative Search—0
Localise to segment: crop to improve organ at risk segmentation accuracyCode0
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning—0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging—0
Transformer Utilization in Medical Image Segmentation Networks—0
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation—0
Marginal Thresholding in Noisy Image Segmentation—0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
Microstructural segmentation using a union of attention guided U-Net models with different color transformed imagesCode0
Pallet Detection from Synthetic Data Using Game Engines—0
Construction of unbiased dental template and parametric dental model for precision digital dentistryCode0
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational modelCode0
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge—0
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slidesCode0
Anomaly Detection via Gumbel Noise Score Matching—0
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks—0
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net—0
Semantic Validation in Structure from MotionCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging SegmentationCode0
Unsupervised Brain Tumor Segmentation with Image-based Prompts—0
DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation—0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
Label-guided Attention Distillation for Lane Segmentation—0
Cross-modal tumor segmentation using generative blending augmentation and self trainingCode0
Uncertainty estimation in Deep Learning for Panoptic segmentation—0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingCode0
Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge DistillationCode0
U-Netmer: U-Net meets Transformer for medical image segmentation—0
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation—0
Noisy Image Segmentation With Soft-Dice—0
Learning Robust Medical Image Segmentation from Multi-source Annotations—0
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization—0
PCCA-Model: an attention module for medical image segmentation—0
Semi-Weakly Supervised Object Kinematic Motion Prediction—0
Deep Learning Architectures for Diagnosis of Diabetic RetinopathyCode0
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images—0
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding—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