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09/05/2023
NICE 2023 Zero-shot Image Captioning Challenge
In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...
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04/21/2023
HabitatDyn Dataset: Dynamic Object Detection to Kinematics Estimation
The advancement of computer vision and machine learning has made dataset...
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02/25/2023
Complementary to Multiple Labels: A Correlation-Aware Correction Approach
Complementary label learning (CLL) requires annotators to give irrelevan...
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09/28/2022
Happy or grumpy? A Machine Learning Approach to Analyze the Sentiment of Airline Passengers' Tweets
As one of the most extensive social networking services, Twitter has mor...
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03/05/2022
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize both seen and un...
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05/30/2021
Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild
Analog meters equipped with one or multiple pointers are wildly utilized...
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01/15/2021
Dynamic Normalization
Batch Normalization has become one of the essential components in CNN. I...
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03/09/2020
MCMC Guided CNN Training and Segmentation for Pancreas Extraction
Efficient organ segmentation is the precondition of various quantitative...
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01/31/2020
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction
An innovative physics-guided learning algorithm for predicting the mecha...
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05/07/2017
Large scale digital prostate pathology image analysis combining feature extraction and deep neural network
Histopathological assessments, including surgical resection and core nee...
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04/03/2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
Histopathology images are crucial to the study of complex diseases such ...
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08/23/2016
Neural Networks with Smooth Adaptive Activation Functions for Regression
In Neural Networks (NN), Adaptive Activation Functions (AAF) have parame...
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04/29/2015
Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification
Convolutional Neural Networks (CNN) are state-of-the-art models for many...
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05/06/2012