To build a model that can detect and localize specific objects in images. We will be implementing the Single Shot Multibox Detector (SSD), a popular, powerful, and especially nimble network for this ...

👽 Out-of-Distribution Detection with PyTorch. Contribute to kkirchheim/pytorch-ood development by creating an account on GitHub. Skip to content. Navigation ... often used as OOD Examples. 2013: ...

Given an input image, LaneNet outputs a lane instance map, by labeling each lane pixel with a lane id. Next, the lane pixels are trasformed using the transformation matrix outputted by H-Net, which ...

Autoencoder Anomaly Detection Using PyTorch. Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are ...

With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image classification ...