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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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08/04/2023
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Deep Neural Network (DNN) has achieved great success on datasets of clos...
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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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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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02/22/2023
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram
Geometry problem solving (GPS) is a high-level mathematical reasoning re...
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08/01/2022
Replacing Backpropagation with Biological Plausible Top-down Credit Assignment in Deep Neural Networks Training
Top-down connections in the biological brain has been shown to be import...
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05/19/2022
Plane Geometry Diagram Parsing
Geometry diagram parsing plays a key role in geometry problem solving, w...
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05/13/2022
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition
Oracle bone script is the earliest-known Chinese writing system of the S...
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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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07/01/2019
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019
With the growing cosmopolitan culture of modern cities, the need of robu...
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05/15/2019
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
Scene text detection attracts much attention in computer vision, because...
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08/16/2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Convolutional neural networks have gained a remarkable success in comput...
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08/01/2018
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks
Anomaly detection aims to detect abnormal events by a model of normality...
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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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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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06/15/2016
Natural Scene Character Recognition Using Robust PCA and Sparse Representation
Natural scene character recognition is challenging due to the cluttered ...
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01/29/2016
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Convolutional neural network (CNN) has achieved state-of-the-art perform...
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07/03/2012
A Fast Projected Fixed-Point Algorithm for Large Graph Matching
We propose a fast approximate algorithm for large graph matching. A new ...
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03/15/2012