Computer vision

Related lectures (32)

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Introduces the course project for CS-503, emphasizing the importance of project selection related to vision and perceptual agents.

Explores techniques for delineating objects in images, including dynamic programming and live wire methods.

Covers the fundamentals of computer vision, illusions, challenges, applications, and history.

Recaps key concepts in computer vision, challenges, opportunities, and upcoming exam details.

Explores challenges and solutions in fine-grained visual categorization, focusing on computer vision and machine learning.

Explores the evolution of edge detection techniques, from Canny to deep learning insights.

Explores the generalization of ImageNet classifiers and the challenges in achieving reliable machine learning models.

Explores a 2019 paper on image recognition, dataset challenges, biases, and the impact of large-scale datasets on deep learning models.

Explores visual intelligence, evolution of vision and action, and the ecological approach to visual perception.

Explores the evaluation of machine and human accuracy and robustness on ImageNet, highlighting progress, challenges, and the need for improvement.