Implementation of Convolutional Block Attention Module (CBAM) in PyTorch
In this video, we will implement the CBAM (Convolutional Block Attention Module) attention mechanism in the PyTorch framework. CBAM: Convolutional Block Attention Module is a lightweight attention mechanism which infers attention maps along two separate dimensions, i.e., channel and spatial. Code: https://github.com/nikhilroxtomar/Att... CBAM Research Paper: https://arxiv.org/abs/1807.06521 Chapters: 00:00 - Introduction 00:14 - Reading Abstract from CBAM paper 01:43 - Block Diagrams of the CBAM Architecture 03:47 - Implementing Channel Attention Module (CAM) 10:00 - Implementing Spatial Attention Module (SAM) 13:47 - Implementing CBAM: Convolutional Block Attention Module 16:04 - Ending Support: / @idiotdeveloper https://www.buymeacoffee.com/nikhilro... Follow Me: BLOG: https://idiotdeveloper.com https://sciencetonight.com TELEGRAM: https://t.me/idiotdeveloper FACEBOOK: / idiotdeveloper TWITTER: / nikhilroxtomar INSTAGRAM: https://instagram/nikhilroxtomar PATREON: / idiotdeveloper
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