SOTAVerified

Segmentation

Papers

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Showing 4701–4750 of 13072 papers

TitleStatusHype
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum LearningCode0
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural NetworksCode0
Improving the generalizability of convolutional neural network-based segmentation on CMR imagesCode0
Improving the U-Net Configuration for Automated Delineation of Head and Neck Cancer on MRICode0
A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and ClassificationCode0
Abdominal Aortic Aneurysm Segmentation with a Small Number of Training SubjectsCode0
Improving Speech Translation Accuracy and Time Efficiency with Fine-tuned wav2vec 2.0-based Speech SegmentationCode0
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to AutoencodersCode0
Fast Segment AnythingCode0
Every Annotation Counts: Multi-label Deep Supervision for Medical Image SegmentationCode0
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule RoutingCode0
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
Capsules for Object SegmentationCode0
Improving Segmentation for Technical Support ProblemsCode0
Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving ScenesCode0
Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context UnderstandingCode0
Learning deep structured active contours end-to-endCode0
Improving Neural Language Models by Segmenting, Attending, and Predicting the FutureCode0
Improving Replay-Based Continual Semantic Segmentation with Smart Data SelectionCode0
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation ModelsCode0
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference AnnotationsCode0
Improving existing segmentators performance with zero-shot segmentatorsCode0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Improving Cross-Domain Chinese Word Segmentation with Word EmbeddingsCode0
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image SegmentationCode0
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain AdaptationCode0
IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and ClassificationCode0
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksCode0
Improved Image Segmentation via Cost Minimization of Multiple HypothesesCode0
Improved distinct bone segmentation in upper-body CT through multi-resolution networksCode0
Improved post-hoc probability calibration for out-of-domain MRI segmentationCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-NetCode0
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant SystemsCode0
Can ultrasound confidence maps predict sonographers' labeling variability?Code0
Improved 3D Whole Heart Geometry from Sparse CMR SlicesCode0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Evaluation and improvement of Segment Anything Model for interactive histopathology image segmentationCode0
Can Textual Semantics Mitigate Sounding Object Segmentation Preference?Code0
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped networkCode0
A Novel Approach for Image Segmentation based on Histograms computed from Hue-dataCode0
Imperfect Segmentation Labels: How Much Do They Matter?Code0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Feature-Based Image Clustering and Segmentation Using WaveletsCode0
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic ConditionsCode0
Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite ImageryCode0
Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?Code0
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesCode0
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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