Ashish Patel 🇮🇳’s Post

Day-44 Computer Vision Learning BAM — Bottleneck Attention Module (Image Classification) by Korea Advanced Institute of Science and Technology), and Adobe Research Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 It is published in 2018 #BMVC, which has already got over 1026 citations. 🔸 Outperforms SENet, DenseNet, ResNeXt, MobileNetV1, WideResNet, ResNet, VGGNet ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://bit.ly/2ODrCOF official Code : https://bit.ly/2ODrCOF tensorflow: https://bit.ly/3b5CJY7 pytorch: https://bit.ly/3rShMH0 keras: https://bit.ly/3dfPrq1 ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 A new module, Bottleneck Attention Module (BAM), is designed, that can be integrated with any feed-forward CNNs. 🔸 This module infers an attention map along two separate pathways, channel and spatial. 🔸 It is placed at each bottleneck of models where the downsampling of feature maps occurs. #computervision #artificialintelligence #innovation