arxiv.org/abs/1903.12505v1
Boot firmware, like UEFI-compliant firmware, has been the target of numerous attacks, giving the attacker control over the entire system while being undetected. The measured boot mechanism of a computer platform ensures its integrity by using cryptog...
stackoverflow.com/questions/29405275/how-to-work-with-night-vision-camera-input-frames-in-opencv
Tags: opencv, image-processing | Score: 2
www.reddit.com/r/shittyfoodporn/comments/1lzv9cg/the_dessert_my_brother_made_himself_last_night/
I wish I was kidding. I’m curious if anyone will somehow be able to guess what this is, so I provided an image of his preparation technique in the second photo as a hint. If anyone was curious, he...
github.com/DlutMedimgGroup/AnatomySketch-Software
A medical image segmentation software supporting user interventions and user-defined funtion extention (⭐ 84)
arxiv.org/abs/2206.07364v2
Recently, deep neural networks have greatly advanced undersampled Magnetic Resonance Image (MRI) reconstruction, wherein most studies follow the one-anatomy-one-network fashion, i.e., each expert network is trained and evaluated for a specific anatom...
arxiv.org/abs/1910.10652v1
Breast cancer investigation is of great significance, and developing tumor detection methodologies is a critical need. However, it is a challenging task for breast ultrasound due to the complicated breast structure and poor quality of the images. In...
arxiv.org/abs/2407.05844v1
Pathological structures in medical images are typically deviations from the expected anatomy of a patient. While clinicians consider this interplay between anatomy and pathology, recent deep learning algorithms specialize in recognizing either one of...
arxiv.org/abs/2106.05915v3
Thoracic disease detection from chest radiographs using deep learning methods has been an active area of research in the last decade. Most previous methods attempt to focus on the diseased organs of the image by identifying spatial regions responsibl...
github.com/fun90/AirOpsCat
AirOpsCat 是一个基于 Quarkus 3.24.3 构建的现代化服务器管理系统,专为代理服务提供商设计。通过 GraalVM Native Image 技术实现超快启动时间和低内存占用,提供完整的用户管理、服务器管理、节点配置、流量统计和订阅服务等功能。 (⭐ 3)
github.com/AlexeyAB/Yolo_mark
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 (⭐ 1847)
arxiv.org/abs/2602.08937v1
Disability Services Office (DSO) professionals at higher education institutions write alt text for {visual content}. However, due to the complexity of visual content, such as HCI figures in research publications, DSO professionals can struggle to wri...
arxiv.org/abs/2107.11919v1
Scene video text spotting (SVTS) is a very important research topic because of many real-life applications. However, only a little effort has put to spotting scene video text, in contrast to massive studies of scene text spotting in static images. Du...
arxiv.org/abs/2310.14581v1
Large web crawl datasets have already played an important role in learning multimodal features with high generalization capabilities. However, there are still very limited studies investigating the details or improvements of data design. Recently, a...
www.reddit.com/r/space/comments/arer0k/i_took_nearly_50000_images_of_the_night_sky_to/
Points: 873 | Comments: 113 | Author: sohkamyung
github.com/shipwright-io/build
Shipwright - a framework for building container images on Kubernetes (⭐ 806)
github.com/armbian/build
The official build framework for the Armbian Linux distribution. This repository contains the complete toolchain and scripts required to compile custom OS images from source, including kernel configuration, U-Boot handling, and board-specific tweaks for variou…
arxiv.org/abs/1708.07747v2
We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category. The training set has 60,000 images and the test set has 10,000 images. Fashion-MNIST is intend...
github.com/switchablenorms/DeepFashion_Try_On
Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR‘20 https://arxiv.org/abs/2003.05863 (⭐ 879)
arxiv.org/abs/1907.00157v1
Extracting fashion attributes from images of people wearing clothing/fashion accessories is a very hard multi-class classification problem. Most often, even catalogues of fashion do not have all the fine-grained attributes tagged due to prohibitive c...
arxiv.org/abs/1806.09445v1
A picture is worth a thousand words. Albeit a cliché, for the fashion industry, an image of a clothing piece allows one to perceive its category (e.g., dress), sub-category (e.g., day dress) and properties (e.g., white colour with floral patterns)....