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Segmentation

Papers

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Showing 8351–8375 of 13072 papers

TitleStatusHype
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
Parsing World's Skylines using Shape-Constrained MRFs—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
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks—0
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation—0
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging—0
Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments—0
Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function—0
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation—0
Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images—0
Parsing Chinese Synthetic Words with a Character-based Dependency Model—0
Evaluation of Video Coding for Machines without Ground Truth—0
Evaluation of the Effect of Improper Segmentation on Word Spotting—0
Capsules for Biomedical Image Segmentation—0
Evaluation of state-of-the-art deep learning models in the segmentation of the heart ventricles in parasternal short-axis echocardiograms—0
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation—0
CapsNet for Medical Image Segmentation—0
CAP-Context-Aware-Pruning-for-Semantic-Segmentation—0
CAP: Context-Aware Pruning for Semantic-Segmentation—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Evaluation of Image Segmentation and Filtering With ANN in the Papaya Leaf—0
Evaluation of head segmentation quality for treatment planning of tumor treating fields in brain tumors—0
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection—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