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Segmentation

Papers

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Showing 3901–3925 of 13072 papers

TitleStatusHype
Deep Learning for Medical Image Segmentation—0
Amodal Instance Segmentation with Diffusion Shape Prior Estimation—0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes—0
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI—0
Automatic Segmentation of Fluorescence Lifetime Microscopy Images of Cells Using Multi-Resolution Community Detection—0
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework—0
DOT: Dynamic Object Tracking for Visual SLAM—0
Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Amodal Instance Segmentation—0
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation—0
Automatic Segmentation of Dynamic Objects from an Image Pair—0
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation—0
Double U-Net for Super-Resolution and Segmentation of Live Cell Images—0
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification—0
Deep learning for cardiac image segmentation: A review—0
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation—0
Automatic segmentation of clear cell renal cell tumors, kidney, and cysts in patients with von Hippel-Lindau syndrome using U-net architecture on magnetic resonance images—0
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients—0
DPANET:Dual Pooling Attention Network for Semantic Segmentation—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation—0
Automatic Segmentation of Broadcast News Audio using Self Similarity Matrix—0
An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation—0
Exploiting Richness of Learned Compressed Representation of Images for Semantic 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