[HTML][HTML] pnnclr: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems
Nearest neighbor (NN) sampling provides more semantic variations than predefined
transformations for self-supervised learning (SSL) based image recognition problems …
transformations for self-supervised learning (SSL) based image recognition problems …
A Deep Convolutional Neural Network for Pneumonia Detection in X-ray Images with Attention Ensemble
Q An, W Chen, W Shao - Diagnostics, 2024 - mdpi.com
In the domain of AI-driven healthcare, deep learning models have markedly advanced
pneumonia diagnosis through X-ray image analysis, thus indicating a significant stride in the …
pneumonia diagnosis through X-ray image analysis, thus indicating a significant stride in the …
Contrastive learning with text augmentation for text classification
O Jia, H Huang, J Ren, L Xie, Y Xiao - Applied Intelligence, 2023 - Springer
Various contrastive learning models have been successfully applied to representation
learning for downstream tasks. The positive samples used in contrastive learning are often …
learning for downstream tasks. The positive samples used in contrastive learning are often …
Emotion recognition in user‐generated videos with long‐range correlation‐aware network
Y Yi, J Zhou, H Wang, P Tang, M Wang - IET Image Processing, 2024 - Wiley Online Library
Emotion recognition in user‐generated videos plays an essential role in affective computing.
In general, visual information directly affects human emotions, so the visual modality is …
In general, visual information directly affects human emotions, so the visual modality is …
SAPDA: Significant Areas Preserved Data Augmentation
X Zhang, L Quan, Y Yang - International Journal of Machine Learning and …, 2024 - Springer
Data Augmentation is an essential technology for improving the performance of deep
learning models. However, the semantic information change in current data augmentation …
learning models. However, the semantic information change in current data augmentation …