2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
CVPR 2023poster
Fully test-time adaptation aims to adapt the network model based on sequential analysis of input samples during the inference stage to address the cross-domain performance degradation problem of deep neural networks. We take inspiration from the biological plausibility learning where the neuron resp…