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Segmentation

Papers

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Showing 10651–10700 of 13072 papers

TitleStatusHype
Supervized Segmentation with Graph-Structured Deep Metric LearningCode0
Joint Segmentation and Path Classification of Curvilinear Structures—0
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss functionCode0
Weakly Labeling the Antarctic: The Penguin Colony Case—0
Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial ImagesCode0
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic SegmentationCode0
Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images—0
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation—0
Image Recoloring Based on Object Color DistributionsCode1
Searching for MobileNetV3Code1
Simultaneous Object Detection and Semantic SegmentationCode1
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss—0
A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods—0
Semantic Segmentation of Video Sequences with Convolutional LSTMsCode1
SCOPS: Self-Supervised Co-Part SegmentationCode0
Seamless Scene SegmentationCode0
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation—0
Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow—0
Meta-Learning to Guide Segmentation—0
End-to-end learning of pharmacological assays from high-resolution microscopy images—0
Trace-back along capsules and its application on semantic segmentation—0
Segmentation is All You Need—0
Detecting Reflections by Combining Semantic and Instance Segmentation—0
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization—0
Representation Similarity Analysis for Efficient Task taxonomy & Transfer LearningCode1
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation—0
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation—0
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning—0
On guiding video object segmentation—0
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks—0
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data—0
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
The iterative convolution-thresholding method (ICTM) for image segmentation—0
Segmenting the FutureCode0
Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries—0
Learn to segment single cells with deep distance estimator and deep cell detector—0
GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective DetectionCode0
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation NetworksCode0
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural NetworksCode0
Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module—0
A Fast, Semi-Automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging—0
Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural NetworksCode0
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases—0
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net—0
Video Object Segmentation and Tracking: A Survey—0
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities GenerationCode0
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes—0
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss—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