github.com/liuziwei7/fashion-detection
liuziwei7/fashion-detection
Fashion Detection in the Wild (Deep Clothes Detector) (⭐ 494)
arxiv.org/abs/2201.11628v2
Early Detection of Network Attacks Using Deep Learning
The Internet has become a prime subject to security attacks and intrusions by attackers. These attacks can lead to system malfunction, network breakdown, data corruption or theft. A network intrusion detection system (IDS) is a tool used for identify...
en.wikipedia.org/wiki/Kingdom_Come%3A_Deliverance
Kingdom Come: Deliverance - Wikipedia
Deliverance is a 2018 action role-playing video game developed by Warhorse Studios and published by Deep Silver. The game is set in the medieval Kingdom
arxiv.org/abs/2504.13847v1
Interview AI-ssistant: Designing for Real-Time Human-AI Collaboration in Intervi…
Recent advances in large language models (LLMs) offer unprecedented opportunities to enhance human-AI collaboration in qualitative research methods, including interviews. While interviews are highly valued for gathering deep, contextualized insights,...
arxiv.org/abs/2211.12702v2
Evaluating Feature Attribution Methods for Electrocardiogram
The performance of cardiac arrhythmia detection with electrocardiograms(ECGs) has been considerably improved since the introduction of deep learning models. In practice, the high performance alone is not sufficient and a proper explanation is also re...
arxiv.org/abs/2505.04835v1
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?
Deep learning (DL) models are widely used in real-world applications but remain vulnerable to distribution shifts, especially due to weather and lighting changes. Collecting diverse real-world data for testing the robustness of DL models is resource-...
arxiv.org/abs/2509.22655v1
GOAT: A Large Dataset of Paired Guitar Audio Recordings and Tablatures
In recent years, the guitar has received increased attention from the music information retrieval (MIR) community driven by the challenges posed by its diverse playing techniques and sonic characteristics. Mainly fueled by deep learning approaches, p...
en.wikipedia.org/wiki/South_Carolina
South Carolina - Wikipedia
South Carolina (/ˌkærəˈlaɪnə/ KARR-ə-LY-nə) is a state in the Southeastern, South Atlantic and Deep South regions of the United States. It borders North
arxiv.org/abs/astro-ph/0607003v1
Neutrino Astronomy at the South Pole
IceCube is currently being built deep in the glacial ice beneath the South Pole. In its second year of construction, it is already larger than its predecessor, AMANDA. AMANDA continues to collect high energy neutrino and muon data as an independent...
arxiv.org/abs/2403.16451v4
DeepMachining: Online Prediction of Machining Errors of Lathe Machines
We describe DeepMachining, a deep learning-based AI system for online prediction of machining errors of lathe machine operations. We have built and evaluated DeepMachining based on manufacturing data from factories. Specifically, we first pretrain a...
arxiv.org/abs/2509.02659v1
2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Usi…
End-to-end autonomous driving has drawn tremendous attention recently. Many works focus on using modular deep neural networks to construct the end-to-end archi-tecture. However, whether using powerful large language models (LLM), especially multi-mod...
arxiv.org/abs/2505.11963v3
MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models
Hardware security verification is a challenging and time-consuming task. Design engineers may use formal verification, linting, and functional simulation tests, coupled with analysis and a deep understanding of the hardware design being inspected. La...
www.bing.com/ck/a?!&&p=70616b1d5ad8f89cd284893514dbe0bc713ea8cec10aff00c43387db474b6ae5JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=350dad85-30d3-6e3b-3a36-ba94317d6f79&u=a1aHR0cHM6Ly9hcG5ld3MuY29tL2FydGljbGUvdWtyYWluZS13YXItemFsdXpobnlpLXplbGVuc2t5eS1yYWlkLTVmZjllNWUyMDU0ZTBiMTdjMTBkYWY1OGQ3ZWFiNjNl&ntb=1
Ukraine's ex-army chief reveals to AP a rift with Zelenskyy | AP News
Feb 18, 2026 · The former Ukrainian army general widely seen as the top political rival to President Volodymyr Zelenskyy has spoken publicly for the first time about a deep rift between the two men.
github.com/jaeyoon1603/Retrieval-RegionalAttention
jaeyoon1603/Retrieval-RegionalAttention
Code for 'Regional Attention Based Deep Feature for Image Retrieval (BMVC 2018)' https://sglab.kaist.ac.kr/RegionalAttention/ (⭐ 84)
arxiv.org/abs/2401.16748v1
Detecting Racist Text in Bengali: An Ensemble Deep Learning Framework
Racism is an alarming phenomenon in our country as well as all over the world. Every day we have come across some racist comments in our daily life and virtual life. Though we can eradicate this racism from virtual life (such as Social Media). In thi...
arxiv.org/abs/2106.15236v3
New Arabic Medical Dataset for Diseases Classification
The Arabic language suffers from a great shortage of datasets suitable for training deep learning models, and the existing ones include general non-specialized classifications. In this work, we introduce a new Arab medical dataset, which includes two...
arxiv.org/abs/2510.16145v1
C-arm Guidance: A Self-supervised Approach To Automated Positioning During Strok…
Thrombectomy is one of the most effective treatments for ischemic stroke, but it is resource and personnel-intensive. We propose employing deep learning to automate critical aspects of thrombectomy, thereby enhancing efficiency and safety. In this wo...
github.com/GregFinzer/Compare-Net-Objects
GregFinzer/Compare-Net-Objects
What you have been waiting for :+1: Perform a deep compare of any two .NET objects using reflection. Shows the differences between the two objects. (⭐ 1142)
arxiv.org/abs/2411.01896v1
MBDRes-U-Net: Multi-Scale Lightweight Brain Tumor Segmentation Network
Accurate segmentation of brain tumors plays a key role in the diagnosis and treatment of brain tumor diseases. It serves as a critical technology for quantifying tumors and extracting their features. With the increasing application of deep learning m...
arxiv.org/abs/2402.00422v1
Lightweight Pixel Difference Networks for Efficient Visual Representation Learni…
Recently, there have been tremendous efforts in developing lightweight Deep Neural Networks (DNNs) with satisfactory accuracy, which can enable the ubiquitous deployment of DNNs in edge devices. The core challenge of developing compact and efficient...