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.
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 ...
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Python neural network for multiclass classification using softmax
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
AI firm debuts its first certification program with ChatGPT-based courses for workers and K-12 teachers, starting with AI ...
Abstract: Environment perception, one of the most fundamental and challenging problems of autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault tolerance and the ...
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency（CVPR highlight 2025）
This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...
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