This repository provides a PyTorch implementation of Efficient Channel Attention (ECA) modules for deep convolutional neural networks. The approach uses 1D convolution to capture cross-channel interactions without dimensionality reduction, offering a parameter-efficient alternative to SENet. It is evaluated on image classification, object detection, and instance segmentation tasks with ResNet and MobileNetV2 backbones.