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Found 14 papers, 4 papers with code
Attention-Based Graph Neural Network with Global Context Awareness for Document Understanding
Information extraction from documents such as receipts or invoices is a fundamental and crucial step for office automation.
Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation
Mis- and disinformation online have become a major societal problem as major sources of online harms of different kinds.
Empowering Next POI Recommendation with Multi-Relational Modeling
Noticeably, LBSNs have offered unparalleled access to abundant heterogeneous relational information about users and POIs (including user-user social relations, such as families or colleagues; and user-POI visiting relations).
Scale Invariant Domain Generalization Image Recapture Detection
However, most of them ignored the domain generalization scenario and scale variances, with an inferior performance on domain shift situations, and normally were exacerbated by intra-domain and inter-domain scale variances.
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
Besides, as the confounders may be time-varying during COVID-19 (e. g., vigilance of residents changes in the course of the pandemic), it is even more difficult to capture them.
Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning
We joint fuzzy clustering to the deep reconstruction model, in which fuzzy membership is utilized to represent a clear structure of deep cluster assignments and jointly optimize for the deep representation learning and clustering.
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction
In this competition, we set up three tasks, namely, Scanned Receipt Text Localisation (Task 1), Scanned Receipt OCR (Task 2) and Key Information Extraction from Scanned Receipts (Task 3).
Key Information Extraction
Optical Character Recognition (OCR)
+1
A fuzzy control scheme for deployment of space tethered system with tension constraint
In the meantime, the asymmetric constraint on tether tension is handled in controller design and stability analysis such that tether tension can be kept within a prescribed positive range during the deployment.
GFTE: Graph-based Financial Table Extraction
Tabular data is a crucial form of information expression, which can organize data in a standard structure for easy information retrieval and comparison.
EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing
Therefore, a small input network can be designed to reduce computation.
Double Supervised Network with Attention Mechanism for Scene Text Recognition
In this paper, we propose Double Supervised Network with Attention Mechanism (DSAN), a novel end-to-end trainable framework for scene text recognition.
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instance-aware semantic segmentation perspective.
Ranked #12 on
Scene Text Detection
on MSRA-TD500
Audio Recording Device Identification Based on Deep Learning
The identification result shows that the method of getting feature vector from the noise of each device and identifying them with deep learning techniques is viable, and well-preformed.
Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation
Recurrent neural network(RNN) has been broadly applied to natural language processing(NLP) problems.
