Deep Learning, Computer Vision, Cnn, Transformers, AI.
robustness. Robustness to Out-of-Distribution Samples Out-of-distribution samples refer to data that the model hasn’t seen during training. Testing a model’s performance on such samples is a good measure of its generalization ability. The researchers used three benchmarks for this purpose: