Various Attention Mechanisms for YOLO Series: SE, A2-Nets, BAM, and BiFormer
Attention mechanisms have significantly improved the performance of deep learning models in computer vision tasks. This article provides an overview of several popular attention modules that can be easily integrated into object detection models like YOLOv5, YOLOv7, YOLOv8, YOLOv9, and YOLOv10.
SE
Paper: Squeeze-and-Excitation Networks
Link: arX ...
Posted on Fri, 22 May 2026 19:06:16 +0000 by sheephat
HCS²-Net: Unsupervised Spatial-Spectral Network for Hyperspectral Compressive Snapshot Reconstruction
Table of Contents
Article Overview
Framework Workflow
Code Analysis
Article Overview
Problem Context: Hyperspectral compressive imaging utilizes compressed sensing theory to capture hyperspectral data through snapshot measurements via coded apertures, avoiding temporal scanning. The core challenge lies in reconstructing the original hypers ...
Posted on Sun, 10 May 2026 04:30:41 +0000 by kkobashi