The learning of discriminative features is the key for fine-grained image recognition. To better extract effective features and improve the accuracy of fine-grained image recognition. we propose a two-level progressive attention convolutional network (TPA-CNN) for fine-grained image recognition. The model includes a multi-channel attention-fusion (MCAF) module and a cross-layer elemen... https://www.markbroyard.com/top-deal-lumishine-10n-natural-lightest-blonde-for-discount-great-buy/