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Segmentation

Papers

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Showing 1601–1650 of 13072 papers

TitleStatusHype
MacFormer: Semantic Segmentation with Fine Object Boundaries—0
Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment—0
PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasoundCode1
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyCode0
One Shot is Enough for Sequential Infrared Small Target SegmentationCode0
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic SegmentationCode2
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary SegmentationCode2
Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound—0
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis—0
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2—0
Embodied Uncertainty-Aware Object Segmentation—0
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and MoreCode5
Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs—0
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation—0
Is SAM 2 Better than SAM in Medical Image Segmentation?—0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation—0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image SegmentationCode0
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentationCode1
Post-Mortem Human Iris Segmentation Analysis with Deep Learning—0
Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods—0
Hybrid diffusion models: combining supervised and generative pretraining for label-efficient fine-tuning of segmentation models—0
Segment Anything in Medical Images and Videos: Benchmark and DeploymentCode7
Biomedical SAM 2: Segment Anything in Biomedical Images and VideosCode0
LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion—0
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram SynthesisCode1
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater EnvironmentCode1
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Scribble-Based Interactive Segmentation of Medical Hyperspectral Images—0
Interactive 3D Medical Image Segmentation with SAM 2Code1
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images—0
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMsCode0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
Faster Diffusion Action Segmentation—0
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2Code3
MedUHIP: Towards Human-In-the-Loop Medical Segmentation—0
Enhanced Knee Kinematics: Leveraging Deep Learning and Morphing Algorithms for 3D Implant Modeling—0
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor SegmentationCode0
Amodal Segmentation for Laparoscopic Surgery Video Instruments—0
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation ModelCode0
UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor SegmentationCode0
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
Medical SAM 2: Segment medical images as video via Segment Anything Model 2Code4
Segment anything model 2: an application to 2D and 3D medical imagesCode2
SAM 2: Segment Anything in Images and VideosCode12
Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function—0
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
Multimodal Fusion and Coherence Modeling for Video Topic 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