Optimising deep learning architectures for Video Analytics and Generation on resource-constrained devices
Techniques For Reducing Model Complexity In Video Analytics On Resource-Constrained Devices In the rapidly evolving field of video analytics and generation, the deployment of deep learning models on resource-constrained devices presents a unique set of challenges. These devices, often characterized by limited computational power, memory, and energy resources, necessitate innovative techniques to optimize model complexity…