Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection
While the recurrent neural network (RNN) has achieved remarkable performance on
dynamic and control tasks, its applications to image processing, particularly target detection …
dynamic and control tasks, its applications to image processing, particularly target detection …
Multidimensional Refinement Graph Convolutional Network With Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition
Graph convolutional networks (GCNs) have been widely used in skeleton-based action
recognition. However, existing approaches are limited in fine-grained action recognition due …
recognition. However, existing approaches are limited in fine-grained action recognition due …