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Segmentation

Papers

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Showing 4951–5000 of 13072 papers

TitleStatusHype
PCT: Perspective Cue Training Framework for Multi-Camera BEV Segmentation—0
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets—0
Class and Region-Adaptive Constraints for Network CalibrationCode0
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency—0
Semantic Layering in Room Segmentation via LLMs—0
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation—0
MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation—0
TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models—0
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes—0
A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos—0
Circle Representation for Medical Instance Object SegmentationCode0
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy SegmentationCode0
EffiPerception: an Efficient Framework for Various Perception Tasks—0
Object Segmentation-Assisted Inter Prediction for Versatile Video Coding—0
MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic SegmentationCode0
A Dynamically Weighted Loss Function for Unsupervised Image Segmentation—0
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans—0
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation—0
Topologically Faithful Multi-class Segmentation in Medical Images—0
COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss—0
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation—0
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images—0
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation—0
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model—0
Using Contextual Information for Sentence-level Morpheme Segmentation—0
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor SegmentationCode0
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation—0
Temporal-spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of cine CMR Segmentation—0
Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects—0
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation—0
MARVIS: Motion & Geometry Aware Real and Virtual Image SegmentationCode0
Region-based U-net for accelerated training and enhanced precision in deep brain segmentation—0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning—0
Renovating Names in Open-Vocabulary Segmentation Benchmarks—0
WeakSurg: Weakly supervised surgical instrument segmentation using temporal equivariance and semantic continuity—0
Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations—0
Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks—0
Explore In-Context Segmentation via Latent Diffusion Models—0
Annotation Free Semantic Segmentation with Vision Foundation Models—0
Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches—0
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ SegmentationCode0
An Active Contour Model Driven By the Hybrid Signed Pressure Function—0
CT evaluation of 2D and 3D holistic deep learning methods for the volumetric segmentation of airway lesions—0
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling—0
SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation—0
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives—0
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning—0
Query-guided Prototype Evolution Network for Few-Shot Segmentation—0
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image SegmentationCode0
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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