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Found 9 papers, 1 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.
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
The intra-client and inter-client consistency learning are introduced to smooth predictions at the data level and avoid confirmation bias of local models.
Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights
Our comprehensive analysis reveals that FNR-FL not only accelerates convergence but also significantly surpasses other contemporary federated learning algorithms in test accuracy, particularly under feature distribution skew scenarios.
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.
SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking
Furthermore, based on SE#PCFG and a new systematic smoothing method, we proposed the Semantically Enhanced Password Cracking Architecture (SEPCA).
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.
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction
We propose DAFAR, a feedback framework that allows deep learning models to detect/purify adversarial examples in high effectiveness and universality, with low area and time overhead.
PatternMonitor: a whole pipeline with a much higher level of automation for guessing Android lock pattern based on videos
To the best of our knowledge, our work is the first attack system to generate candidate patterns by only relying on hand movement instead of accurate fingertips capture.
Cryptography and Security
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
