This repository provides implementations of efficient convolutional neural network architectures (ESPNetV2, ShuffleNetV2, DiceNet) optimized for edge devices. It includes training pipelines and pre-trained models for standard computer vision benchmarks including ImageNet classification, MS-COCO object detection, and semantic segmentation on CityScapes and PASCAL VOC datasets.