To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.
Yongqiang Yao*, Jingru Tan*, Feizhao Zhang*, Jiahao Hu, Yazhe Niu, Xin Jin, Bo Li, Pengfei Liu, Ruihao Gong📧, Dahua Lin, Ningyi Xu📧 (* denotes equal contribution, 📧 denotes corresponding author.) ...
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Abstract: Ensuring product quality and integrity is paramount in the rapidly evolving landscape of industrial manufacturing. Although effective to a certain degree, traditional quality control methods ...
Abstract: In the era of rapid technological advancement, Computer Vision has emerged as a transformative force, reshaping the landscape of Artificial Intelligence (AI) and Machine Learning (ML). This ...
All models use multi-GPU setting with a total batch size of 4096 on ImageNet-1k and 1024 on ImageNet-22k. Training from scratch on ImageNet-1k. python -m torch.distributed.launch --nproc_per_node=8 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results