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Segmentation

Papers

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Showing 8326–8350 of 13072 papers

TitleStatusHype
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model—0
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
EV-SegNet: Semantic Segmentation for Event-based Cameras—0
Cardiac MRI Semantic Segmentation for Ventricles and Myocardium using Deep Learning—0
EVOPS Benchmark: Evaluation of Plane Segmentation from RGBD and LiDAR Data—0
Evolving Fuzzy Image Segmentation with Self-Configuration—0
A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images—0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey—0
Evolution of Efficient Symbolic Communication Codes—0
Cardiac MR Image Segmentation Techniques: an overview—0
EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras—0
Temporal-spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of cine CMR Segmentation—0
PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving—0
EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
Cardiac CT segmentation based on distance regularized level set—0
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images—0
Cardiac Adipose Tissue Segmentation via Image-Level Annotations—0
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images—0
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis—0
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution—0
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures—0
Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds—0
Every Pixel Tells a Story: End-to-End Urdu Newspaper OCR—0
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow—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