Most existing attention mechanisms have no supervised signal during the training phase, which limits model feature learning capability. To solve this problem, we propose a novel parameter-free mechanism based on class activation mapping. Attention usually consist of spatial and channel attention, indicates that “where” “what” is more meaningful, respectively. Our als...
