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Segmentation

Papers

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Showing 4101–4150 of 13072 papers

TitleStatusHype
When SAM Meets Sonar ImagesCode1
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model—0
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets—0
Scribble-supervised Cell Segmentation Using Multiscale Contrastive RegularizationCode0
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-NetCode0
The Second-place Solution for CVPR VISION 23 Challenge Track 1 -- Data Effificient Defect DetectionCode0
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Improved Aircraft Environmental Impact Segmentation via Metric Learning—0
Efficient Annotation of Medieval ChartersCode0
Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving ScenesCode0
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical ImagesCode1
Zero-shot spatial layout conditioning for text-to-image diffusion models—0
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation—0
Unsupervised Deformable Ultrasound Image Registration and Its Application for Vessel Segmentation—0
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in HistopathologyCode1
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural RobotsCode1
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentationCode2
OpenMask3D: Open-Vocabulary 3D Instance SegmentationCode2
Curriculum Knowledge Switching for Pancreas SegmentationCode1
A Sparse Graph Formulation for Efficient Spectral Image Segmentation—0
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation ModelsCode1
Can a single image processing algorithm work equally well across all phases of DCE-MRI?—0
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images—0
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencesCode1
Joint Dense-Point Representation for Contour-Aware Graph SegmentationCode0
Lumbar spine segmentation in MR images: a dataset and a public benchmarkCode1
Fast Segment AnythingCode0
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology—0
Meta-Analysis of Transfer Learning for Segmentation of Brain Lesions—0
Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematurity—0
Segment Anything Model (SAM) for Radiation Oncology—0
SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation—0
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationsCode1
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging—0
A spatio-temporal network for video semantic segmentation in surgical videos—0
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot SegmentationCode1
Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation from MLS—0
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation—0
Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field—0
Multi-task 3D building understanding with multi-modal pretraining—0
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic SegmentationCode1
Towards Better Certified Segmentation via Diffusion ModelsCode0
Diffusion Models for Open-Vocabulary Segmentation—0
Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark DatasetCode0
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions—0
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly DetectionCode2
Robustness Analysis on Foundational Segmentation Models—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Text Promptable Surgical Instrument Segmentation with Vision-Language ModelsCode1
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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