Stanford CS231N Deep Learning for Computer Vision I 2025 - Stanford CS231N | Spring 2025 | Lecture 9: Object Detection, Image Segmentation, Visualizing

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: 1. Single-stage detectors 2. Two-stage detectors 3. Semantic/Instance/Panoptic segmentation 4. Feature visualization and inversion 5. Adversarial examples 6. DeepDream and style transfer To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus visit: https://cs231n.stanford.edu/ Ehsan Adeli Assistant Professor of Psychiatry & Behavioral Sciences and, by courtesy, of Computer Science View the entire course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16