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Segmentation

Papers

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Showing 4551–4600 of 13072 papers

TitleStatusHype
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning—0
Transformer Utilization in Medical Image Segmentation Networks—0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging—0
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation—0
Marginal Thresholding in Noisy Image Segmentation—0
Microstructural segmentation using a union of attention guided U-Net models with different color transformed imagesCode0
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational modelCode0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
Pallet Detection from Synthetic Data Using Game Engines—0
Construction of unbiased dental template and parametric dental model for precision digital dentistryCode0
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge—0
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation LearnerCode1
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic GraspingCode1
SegGPT: Segmenting Everything In ContextCode4
Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slidesCode0
Unraveling Instance Associations: A Closer Look for Audio-Visual SegmentationCode1
InterFormer: Real-time Interactive Image SegmentationCode1
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic ExpertsCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
Anomaly Detection via Gumbel Noise Score Matching—0
PointCAT: Cross-Attention Transformer for point cloudCode1
Segment AnythingCode5
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks—0
Semantic Validation in Structure from MotionCode0
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging SegmentationCode0
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net—0
DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation—0
Uncertainty estimation in Deep Learning for Panoptic segmentation—0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingCode0
Unsupervised Brain Tumor Segmentation with Image-based Prompts—0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
Cross-modal tumor segmentation using generative blending augmentation and self trainingCode0
Label-guided Attention Distillation for Lane Segmentation—0
Towards Open-Vocabulary Video Instance SegmentationCode1
U-Netmer: U-Net meets Transformer for medical image segmentation—0
Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge DistillationCode0
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next FrameworkCode1
Noisy Image Segmentation With Soft-Dice—0
FinnWoodlands DatasetCode1
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation—0
Learning Robust Medical Image Segmentation from Multi-source Annotations—0
PCCA-Model: an attention module for medical image segmentation—0
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization—0
Automatic High Resolution Wire Segmentation and RemovalCode1
Deep Learning Architectures for Diagnosis of Diabetic RetinopathyCode0
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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