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Found 23 papers, 7 papers with code
EVA-Score: Evaluation of Long-form Summarization on Informativeness through Extraction and Validation
Summarization is a fundamental task in natural language processing (NLP) and since large language models (LLMs), such as GPT-4 and Claude, come out, increasing attention has been paid to long-form summarization whose input sequences are much longer, indicating more information contained.
Deep Learning-based Text-in-Image Watermarking
In this work, we introduce a novel deep learning-based approach to text-in-image watermarking, a method that embeds and extracts textual information within images to enhance data security and integrity.
Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning
Image watermarking involves embedding and extracting watermarks within a cover image, with deep learning approaches emerging to bolster generalization and robustness.
ViewMix: Augmentation for Robust Representation in Self-Supervised Learning
Joint Embedding Architecture-based self-supervised learning methods have attributed the composition of data augmentations as a crucial factor for their strong representation learning capabilities.
Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary
Hence, this study aims to look at the AEs from a different perspective and proposes an imperceptible adversarial attack that systemically attacks the input image boundary for finding the AEs.
A Brief Yet In-Depth Survey of Deep Learning-Based Image Watermarking
This paper presents a comprehensive survey on deep learning-based image watermarking, a technique that entails the invisible embedding and extraction of watermarks within a cover image, aiming to offer a seamless blend of robustness and adaptability.
DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text
As elaborated within the paper, these attributes are crucial for universal text source detection, with a particular emphasis in this paper on text produced by LLMs.
Padding Module: Learning the Padding in Deep Neural Networks
During the last decades, many studies have been dedicated to improving the performance of neural networks, for example, the network architectures, initialization, and activation.
Foreign Object Debris Detection for Airport Pavement Images based on Self-supervised Localization and Vision Transformer
While a large and expensive dataset could be developed to include common FOD examples, it is infeasible to collect all possible FOD examples in the dataset representation because of the open-ended nature of FOD.
An Improved Normed-Deformable Convolution for Crowd Counting
However, the heads are not uniformly covered by the sampling points in the deformable convolution, resulting in loss of head information.
Perspective Transformation Layer
Incorporating geometric transformations that reflect the relative position changes between an observer and an object into computer vision and deep learning models has attracted much attention in recent years.
DeepGOMIMO: Deep Learning-Aided Generalized Optical MIMO with CSI-Free Blind Detection
Generalized optical multiple-input multiple-output (GOMIMO) techniques have been recently shown to be promising for high-speed optical wireless communication (OWC) systems.
FOD-A: A Dataset for Foreign Object Debris in Airports
This paper presents the creation methodology, discusses the publicly available dataset extension process, and demonstrates the practicality of FOD-A with widely used machine learning models for object detection.
A Deep Learning-based Audio-in-Image Watermarking Scheme
This paper presents a deep learning-based audio-in-image watermarking scheme.
Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation
In this paper, we propose an orthogonal frequency division multiplexing (OFDM)-based generalized optical quadrature spatial modulation (GOQSM) technique for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems.
Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection
Finally, several potential scenarios that could utilize either this dataset or similar methods for other public service are presented.
Global well-posedness and exponential decay to the Cauchy problem of nonhomogeneous Navier-Stokes equations with density-dependent viscosity and vacuum in $\mathbb{R}^2$
We study global well-posedness of strong solutions for the nonhomogeneous Navier-Stokes equations with density-dependent viscosity and initial density allowing vanish in $\mathbb{R}^2$.
Analysis of PDEs
Global well-posedness and exponential decay of 2D nonhomogeneous Navier-Stokes and magnetohydrodynamic equations with density-dependent viscosity and vacuum
We establish global well-posedness of strong solutions for the nonhomogeneous magnetohydrodynamic equations with density-dependent viscosity and initial density allowing vanish in two-dimensional (2D) bounded domains.
Analysis of PDEs
DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding
DLWIoT embeds user credentials into carrier images (e. g., QR codes printed on IoT devices), thus enables IoT onboarding only by authorized users.
An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks
Digital image watermarking is the process of embedding and extracting a watermark covertly on a cover-image.
Automatic Image Pixel Clustering based on Mussels Wandering Optimiz
Furthermore, determining the segment number in an image is NP-hard without prior knowledge of the image content.
Deep Morphological Neural Networks
With a known target, a single-filter morphological layer learns the structuring element correctly, and an adaptive layer can automatically select appropriate morphological operations.
A Robust Image Watermarking System Based on Deep Neural Networks
Digital image watermarking is the process of embedding and extracting watermark covertly on a carrier image.
