Tag: coordinate attention

A modified YOLOv8 detector improved conventional ship-detection accuracy in high-resolution SAR imagery, including on two external datasets, but reduced inference ...

A dual-track deep learning network combining Swin Transformer global context with convolutional feature pyramids classifies pear leaf diseases with 92.69% ...

Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov transition field images and detects local ...

Researchers in India have developed CAT-Net, a hybrid deep learning model combining convolutional networks, coordinate attention, and Transformer encoders to ...