Original article was published by Sik-Ho Tsang on Artificial Intelligence on Medium
Reading: CBAM — Convolutional Block Attention Module (Image Classification)
In this story, “CBAM: Convolutional Block Attention Module” (CBAM), is presented. In this paper:
- Given an intermediate feature map, BAM sequentially infers attention maps along two separate dimensions, channel and spatial, then the attention maps are multiplied to the input feature map for adaptive feature refinement.
- CBAM can be integrated into any CNN architectures seamlessly with negligible overheads and is end-to-end trainable along with base CNNs.
This is a paper in 2018 ECCV with over 900 citations. (Sik-Ho Tsang @ Medium)