Incremental Online Learning of Randomized Neural Network with Forward Regularization
J Wang, M Hu, N Li, A Al-Ali, PN Suganthan - arXiv preprint arXiv …, 2024 - arxiv.org
Online learning of deep neural networks suffers from challenges such as hysteretic non-
incremental updating, increasing memory usage, past retrospective retraining, and …
incremental updating, increasing memory usage, past retrospective retraining, and …
Pyramid Cascaded Convolutional Neural Network with Graph Convolution for Hyperspectral Image Classification.
H Pan, H Yan, H Ge, L Wang, C Shi - Remote Sensing, 2024 - search.ebscohost.com
Convolutional neural networks (CNNs) and graph convolutional networks (GCNs) have
made considerable advances in hyperspectral image (HSI) classification. However, most …
made considerable advances in hyperspectral image (HSI) classification. However, most …
PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment Anything Model
Plane instance segmentation from RGB-D data is a crucial research topic for many
downstream tasks. However, most existing deep-learning-based methods utilize only …
downstream tasks. However, most existing deep-learning-based methods utilize only …