Abstract. Deep learning-based hyperspectral image (HSI) classification and object detection techniques have gained significant attention due to their vital role in image content analysis, ...
Released in April 2025, the book has sold over 2,000 copies and seeks to make coding approachable for children, especially as ...
Abstract: Semi-supervised object detection (SSOD) is a significant application of Semi-supervised learning to further improve object detectors but suffers more ...
Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.
Abstract: The generalization of the end-to-end deep reinforcement learning (DRL) for object-goal visual navigation is a long-standing challenge since object classes and placements vary in new test ...
So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback