PyTorch Neural Network
A neural network implementation in PyTorch
A neural network implementation in PyTorch
A process where reasoning is integrated dynamically and concurrently with another task, such as visual generation.
Warm Starting refers to the practice of using the solution of a previous problem as the starting point for solving a new, related problem, which can improve convergence speed.
Fine-grained classification refers to the task of distinguishing between categories that are very similar to each other.
DINO is a self-supervised learning method that uses knowledge distillation to learn visual representations without labeled data.
Self-supervised learning is a type of machine learning where the model learns to predict parts of the input from other parts, often using unlabeled data.
Pre-trained self-supervised models are neural networks trained on large datasets without explicit labels, learning to extract features that can be fine-tuned for specific tasks.
Linear probes are simple linear classifiers that are trained on top of the features extracted from a pre-trained model to evaluate its performance on a specific task.