Welcome to Deeplite's blog! A place to discover helpful content on computer vision and perception model optimization, inference acceleration, tinyML and other topics related to achieving smaller, faster and more cost-efficient AI to run on edge devices and in the cloud.
This blog is a summary of the research paper Sah, Sudakar, et al. "ActNAS: Generating Efficient YOLO Models using Activation NAS", accepted at the NeurIPS 2024 FITML Workshop.
In the ever-evolving field of computer vision, the YOLO family of models has set benchmarks for real-time object...
This blog is a summary of the research paper Sah, Sudakar, et al. "Token Pruning using a Lightweight Background Aware Vision Transformer", accepted at the NeurIPS 2024 FITML Workshop.
In the realm of computer vision, Vision Transformers (ViTs) have emerged as a powerful tool, outperforming...