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09/12/2023
Towards Reliable Domain Generalization: A New Dataset and Evaluations
There are ubiquitous distribution shifts in the real world. However, dee...
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07/18/2023
Towards Trustworthy Dataset Distillation
Efficiency and trustworthiness are two eternal pursuits when applying de...
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03/30/2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
Reliable confidence estimation for deep neural classifiers is a challeng...
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03/21/2023
Dynamic-Aware Loss for Learning with Label Noise
Label noise poses a serious threat to deep neural networks (DNNs). Emplo...
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03/06/2023
Rethinking Confidence Calibration for Failure Prediction
Reliable confidence estimation for the predictions is important in many ...
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03/02/2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Detecting Out-of-distribution (OOD) inputs have been a critical issue fo...
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03/26/2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
In the last a few decades, deep neural networks have achieved remarkable...
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03/20/2022
Document Dewarping with Control Points
Document images are now widely captured by handheld devices such as mobi...
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01/14/2022
Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks
Representation is a core issue in artificial intelligence. Humans use di...
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04/14/2021
Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network
As camera-based documents are increasingly used, the rectification of di...
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12/01/2020
Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm
Arbitrary-shaped text detection is an important and challenging task in ...
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06/12/2020
Towards Robust Pattern Recognition: A Review
The accuracies for many pattern recognition tasks have increased rapidly...
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05/12/2019
Predictive Ensemble Learning with Application to Scene Text Detection
Deep learning based approaches have achieved significant progresses in d...
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06/02/2018
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition
Scene text recognition has drawn great attentions in the community of co...
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05/09/2018
Robust Classification with Convolutional Prototype Learning
Convolutional neural networks (CNNs) have been widely used for image cla...
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10/27/2017
Stochastic Conjugate Gradient Algorithm with Variance Reduction
Conjugate gradient methods are a class of important methods for solving ...
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09/06/2017
Scene Text Recognition with Sliding Convolutional Character Models
Scene text recognition has attracted great interests from the computer v...
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03/24/2017
Deep Direct Regression for Multi-Oriented Scene Text Detection
In this paper, we first provide a new perspective to divide existing hig...
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06/21/2016
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Recent deep learning based approaches have achieved great success on han...
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06/18/2016
Online and Offline Handwritten Chinese Character Recognition: A Comprehensive Study and New Benchmark
Recent deep learning based methods have achieved the state-of-the-art pe...
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01/29/2016
