Results 31 to 40 of about 10,370,937 (299)
PackerRobo: Model-based robot vision self supervised learning in CART
Alexandria Engineering Journal, 2022 Robots are most widely used to replace human contribution with machine generated response. When humans interact with robots, its mandatory for both to forecast actions based on current conditions. Huge efforts have been channelized towards attaining this
Asif Khan +8 more
doaj +1 more source
Enhancing IoT Network Security: Unveiling the Power of Self-Supervised Learning against DDoS Attacks
Sensors, 2023 The Internet of Things (IoT), projected to exceed 30 billion active device connections globally by 2025, presents an expansive attack surface. The frequent collection and dissemination of confidential data on these devices exposes them to significant ...
Josue Genaro Almaraz-Rivera +2 more
doaj +1 more source
On the Stepwise Nature of Self-Supervised Learning
CoRR, 2023 9 pages (main text) + 14 pages (refs + appendices).
James B. Simon +5 more
openaire +3 more sources
Remote Sensing, 2022 In recent years, supervised learning, represented by deep learning, has shown good performance in remote sensing image scene classification with its powerful feature learning ability. However, this method requires large-scale and high-quality handcrafted
Xiliang Chen, Guobin Zhu, Mingqing Liu
doaj +1 more source
Adversarial Masking for Self-Supervised Learning
CoRR, 2022 We propose ADIOS, a masked image model (MIM) framework for self-supervised learning, which simultaneously learns a masking function and an image encoder using an adversarial objective. The image encoder is trained to minimise the distance between representations of the original and that of a masked image.
Shi, Yuge +3 more
openaire +5 more sources
Self-directed multimodal learning in higher education [PDF]
, 2020 This book aims to provide an overview of theoretical and practical considerations in terms of self-directed multimodal learning within the university context.
Bailey, Roxanne +9 more
core +1 more source
Self-Supervised Node Classification with Strategy and Actively Selected Labeled Set
Entropy, 2022 To alleviate the impact of insufficient labels in less-labeled classification problems, self-supervised learning improves the performance of graph neural networks (GNNs) by focusing on the information of unlabeled nodes.
Yi Kang +3 more
doaj +1 more source
Self‐supervised learning with randomised layers for remote sensing
Electronics Letters, 2021 This letter presents a new self‐supervised learning approach based on randomised layers for remote sensing. Our method is basically based on the Tile2Vec approach, which is one of the state‐of‐the‐art self‐supervised learning approaches for remote ...
Heechul Jung, Taegyun Jeon
doaj +1 more source
Mean Shift for Self-Supervised Learning [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Most recent self-supervised learning (SSL) algorithms learn features by contrasting between instances of images or by clustering the images and then contrasting between the image clusters. We introduce a simple mean-shift algorithm that learns representations by grouping images together without contrasting between them or adopting much of prior on the ...
Soroush Abbasi Koohpayegani +2 more
openaire +3 more sources
Learning through assessment [PDF]
, 2021 This book aims to contribute to the discourse of learning through assessment within a self-directed learning environment. It adds to the scholarship of assessment and self-directed learning within a face-to-face and online learning environment.
Mentz, Elsa +13 more
core +1 more source