Results 11 to 20 of about 9,895,443 (300)
POTENTIAL OF MOBILE MAPPING TO CREATE DIGITAL TWINS OF FORESTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Forests are irreplaceable and are being studied extensively. Better forest inventory and understanding necessitate effective mapping, modeling, and automatic analysis.
D. Iwaszczuk +4 more
doaj +1 more source
A foundation model for generalizable disease detection from retinal images
Nature, 2023 RETFound, a foundation model for retinal images that learns generalizable representations from unlabelled images, is trained on 1.6 million unlabelled images by self-supervised learning and then adapted to disease detection tasks with explicit labels ...
Yukun Zhou +94 more
semanticscholar +1 more source
DocVQA: A Dataset for VQA on Document Images [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2020 We present a new dataset for Visual Question Answering (VQA) on document images called DocVQA. The dataset consists of 50,000 questions defined on 12,000+ document images.
Minesh Mathew +3 more
semanticscholar +1 more source
Image-to-Image MLP-mixer for Image Reconstruction
CoRR, 2022 Neural networks are highly effective tools for image reconstruction problems such as denoising and compressive sensing. To date, neural networks for image reconstruction are almost exclusively convolutional. The most popular architecture is the U-Net, a convolutional network with a multi-resolution architecture.
Youssef Mansour +2 more
openaire +2 more sources
Detecting Deepfakes with Self-Blended Images [PDF]
Computer Vision and Pattern Recognition, 2022 In this paper, we present novel synthetic training data called self-blended images (SBIs) to detect deepfakes. SBIs are generated by blending pseudo source and target images from single pristine images, reproducing common forgery artifacts (e.g ...
Kaede Shiohara, T. Yamasaki
semanticscholar +1 more source
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning [PDF]
Computer Vision and Pattern Recognition, 2022 Vision Transformers (ViTs) and their multi-scale and hierarchical variations have been successful at capturing image representations but their use has been generally studied for low-resolution images (e.g. 256 × 256, 384 × 384). For gigapixel whole-slide
Richard J. Chen +6 more
semanticscholar +1 more source
Retinal Imaging and Image Analysis [PDF]
IEEE Reviews in Biomedical Engineering, 2010 Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age ...
Abramoff, M.D. +2 more
openaire +4 more sources
BACKPACK SYSTEM FOR CAPTURING 3D POINT CLOUDS OF FORESTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 A 3D model can be useful for inventory management and monitoring of forests. For this task, we present our prototype mobile mapping backpack system for collecting 3D point clouds of forest vegetation.
M. Goebel, D. Iwaszczuk
doaj +1 more source