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07/23/2023
Geometry-Aware Adaptation for Pretrained Models
Machine learning models – including prominent zero-shot models – are oft...
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08/30/2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Weak supervision (WS) is a powerful method to build labeled datasets for...
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05/20/2022
PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit
PaddleSpeech is an open-source all-in-one speech toolkit. It aims at fac...
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03/18/2022
A^3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
Recently, speech representation learning has improved many speech-relate...
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02/14/2022
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification
Image analysis technology is used to solve the inadvertences of artifici...
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01/21/2022
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
In the past ten years, the computing power of machine vision (MV) has be...
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04/13/2021
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers
In recent years, with the advancement of computer-aided diagnosis (CAD) ...
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02/21/2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
With the development of computer-aided diagnosis (CAD) and image scannin...
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01/07/2020
Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale
Approximate string-matching methods to account for complex variation in ...
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08/29/2019