Consequential advancements of self-supervised learning (SSL) in deep learning contexts
Self-supervised learning (SSL) is a potential deep learning (DL) technique that uses
massive volumes of unlabeled data to train neural networks. SSL techniques have evolved …
massive volumes of unlabeled data to train neural networks. SSL techniques have evolved …
Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review
FireViTNet: A hybrid model integrating ViT and CNNs for forest fire segmentation
G Wang, D Bai, H Lin, H Zhou, J Qian - Computers and Electronics in …, 2024 - Elsevier
Forest fires, influenced by climatic and ecological changes, pose significant risks to global
ecosystems and human communities. To address this challenge, our research introduces a …
ecosystems and human communities. To address this challenge, our research introduces a …
A plant leaf disease image classification method integrating capsule network and residual network
X Zhang, Y Mao, Q Yang, X Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
In response to the challenge that traditional convolutional neural networks face in effectively
capturing the posture and spatial relationships of plant disease lesions on leaves, leading to …
capturing the posture and spatial relationships of plant disease lesions on leaves, leading to …
Deep local-to-global feature learning for medical image super-resolution
Medical images play a vital role in medical analysis by providing crucial information about
patients' pathological conditions. However, the quality of these images can be compromised …
patients' pathological conditions. However, the quality of these images can be compromised …
Real-time and lightweight detection of grape diseases based on Fusion Transformer YOLO
Y Liu, Q Yu, S Geng - Frontiers in Plant Science, 2024 - frontiersin.org
Introduction Grapes are prone to various diseases throughout their growth cycle, and the
failure to promptly control these diseases can result in reduced production and even …
failure to promptly control these diseases can result in reduced production and even …
[HTML][HTML] PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines
In computer vision, recognizing plant pictures has emerged as a multidisciplinary area of
interest. In the last several years, much research has been conducted to determine the type …
interest. In the last several years, much research has been conducted to determine the type …
[HTML][HTML] SA-ConvNeXt: A hybrid approach for flower image classification using selective attention mechanism
H Mo, L Wei - Mathematics, 2024 - mdpi.com
In response to the current lack of annotations for flower images and insufficient focus on key
image features in traditional fine-grained flower image classification based on deep …
image features in traditional fine-grained flower image classification based on deep …
Shape classification using a new shape descriptor and multi-view learning
Shape classification is considered as a vital task in solving many computer vision problems.
Different factors such as affine transformations, scaling, rotations, variation in perspective …
Different factors such as affine transformations, scaling, rotations, variation in perspective …