Results 1 to 10 of about 1,026,613 (311)
Locus coeruleus: a new look at the blue spot
Nature Reviews Neuroscience, 2020 Gina R Poe +2 more
exaly +2 more sources
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation [PDF]
European Conference on Computer Vision, 2022 Visual anomaly detection is commonly used in industrial quality inspection. In this paper, we present a new dataset as well as a new self-supervised learning method for ImageNet pre-training to improve anomaly detection and segmentation in 1-class and 2 ...
Yang Zou +4 more
semanticscholar +1 more source
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 There has been growing interest in parameter-efficient methods to apply pre-trained language models to downstream tasks. Building on the Prompt Tuning approach of Lester et al.
Tu Vu +4 more
semanticscholar +1 more source
From Spot 2.0 to Spot 2.10: What's New? [PDF]
International Conference on Computer Aided Verification, 2022 Spot is a C ++ 17 library for LTL and $\omega$-automata manipulation, with command-line utilities, and Python bindings. This paper summarizes its evolution over the past six years, since the release of Spot 2.0, which was the first version to support ...
A. Duret-Lutz +10 more
semanticscholar +1 more source
Spot-Adaptive Knowledge Distillation [PDF]
IEEE Transactions on Image Processing, 2022 Knowledge distillation (KD) has become a well established paradigm for compressing deep neural networks. The typical way of conducting knowledge distillation is to train the student network under the supervision of the teacher network to harness the ...
Jie Song +3 more
semanticscholar +1 more source
Carbohydrate Polymer Technologies and Applications, 2021 In this work, the Ocimum basilicum L. extract (OCE) was encapsulated in a cellulose nanofiber/chitosan composite system (CNF/CH) and examined for phenolic release, antioxidant, and antibacterial activities.
Disha Mishra +6 more
doaj +1 more source
Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs
Italian National Conference on Sensors, 2022 In-flight system failure is one of the major safety concerns in the operation of unmanned aerial vehicles (UAVs) in urban environments. To address this concern, a safety framework consisting of following three main tasks can be utilized: (1) Monitoring ...
Upesh Nepal, Hossein Eslamiat
semanticscholar +1 more source
Journal of Spatial Information Science, 2021 The spatial data infrastructures (SDIs) which constitute a direct link between spatial data users and the large Earth observation industry, have a leading role in establishing market opportunities in the space sector.
Chady Jabbour +4 more
doaj +3 more sources
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2021 The presented research deals with the variable application of N fertilizers (VRA NF) in the stand of winter wheat and with possibilities for evaluating the effect of such application on grain yield.
Jakub Elbl +4 more
doaj +1 more source
CNN-Generated Images Are Surprisingly Easy to Spot… for Now [PDF]
Computer Vision and Pattern Recognition, 2019 In this work we ask whether it is possible to create a "universal" detector for telling apart real images from these generated by a CNN, regardless of architecture or dataset used. To test this, we collect a dataset consisting of fake images generated by
Sheng-Yu Wang +4 more
semanticscholar +1 more source