Deep Learning, Incremental Learning, Computer Vision, Reset, Image Classification.
t after the model is trained on K different tasks. A high value of both metrics is desirable. Results- The proposed method is evaluated on CIFAR100 and TinyimageNet datasets. The proposed method achieves state-of-the-art results on both datasets while keeping BWT high comparable to other methods.