Computer vision
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- Computer Vision and Its Implications Based on the Paper Imagenet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky, Ilya Sutskever, Geoffrey E
- A Large-Scale Hierarchical Image Database
- Traditional Computer Vision Vs. Deep Neural Networks
- CHAPTER 2: Technical Performance
- AI Computer Vision Solutions Architecture by Vishal Kapur, Douglas Bourgeois, Amina Jackson, Julie Kim, Taylor Jones, and Zachary Zweig
- A Survey on Neural Network Interpretability Yu Zhang, Peter Tino,ˇ Alesˇ Leonardis, and Ke Tang
- Novel Convolution Kernels for Computer Vision and Shape Analysis Based on Electromagnetism
- VO2 Carbon Nanotube Composite Memristor-Based Cellular Neural Network Pattern Formation
- Confluence of Computer Vision and Deep Learning for Ophthalmology
- An Introduction to Face Recognition Technology
- Computer Vision in Self Driving Cars
- Deep Learning for Computer Vision
- A State-Of-The-Art Survey on Deep Learning Theory and Architectures
- A Memristor-Based Cascaded Neural Networks for Specific Target
- Language Models Are Unsupervised Multitask Learners
- Stay Positive: Non-Negative Image Synthesis for Augmented Reality
- Machine Learning Saves Computer Vision
- The Reversible Residual Network: Backpropagation Without Storing Activations