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Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 1: Introduction
Active Learning for Deep Object Detection via Probabilistic Modeling (ICCV 2021)
Using self-supervised and active learning for data curation
CS 236 Final Project— Learning to Groove: Conditional Bassline and Melody Generation
ADL4CV:DV - Active Learning
MaCVi 2023 - Keynote talk Scaling aerial whale monitoring using active learning
Active Learning and Iterative Improvement of Computer Vision Models
Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 13: Generative Models 1
Java Machine Learning for Computer Vision: What Are Convolution N/W Layers Learning|packtpub.com
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Last Updated: August 24, 2026
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