The library-based methods pre-trained on the whole ILSVRC dataset and validated on the CUB dataset (1,200 classes were actually used), while the meta-learning based methods trained and validated only on the ILSVRC dataset (1,000 classes). For a fair comparison, why didn't you just use the pre-trained bockbones for the meta-learning methods?