Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shared neural-network processing made locating and identifying objects faster with Faster R-CNN.
Selected research papers and books, linked to their authors.
Shared neural-network processing made locating and identifying objects faster with Faster R-CNN.
The Vision Transformer recognizes images by treating patches like words in a sequence.
A textbook on neural networks, their mathematical foundations and practical applications.
A large labeled image collection for training and testing object-recognition systems.
A textbook on how agents learn to make decisions through trial, error and rewards.
GPT-3 performs tasks from prompts and a few examples without task-specific training.
Showed how neural networks could learn to read handwritten characters for document processing.
YOLO locates and identifies objects in a single network pass for real-time detection.
A textbook covering AI's core ideas, from search and reasoning to learning and robotics.
A dataset of everyday scenes with individual objects labeled and outlined.