Thi repository is for the paper "Lifelong Learning via Progressive Distillation and Retrospection".
- Install the dependencies for Caffe according to the official instructions and modify the
./lll-caffe/Makefile.config. - Compile the
./lll-caffeand make a soft link to the./lll-data.
cd lll-caffe
make -j 12
ln -s ../lll-data data
- Download the pretrained models from the following links and put them in the
./lll-models.
Link1 (Password: wcdfwu)
- Generate the lmdb for each dataset in the
./lll-dataaccording to the provided image list.
#Take Flowers as an example
./lll-data/data/flowers_train_lmdb #train set
./lll-data/data/flowers_test_lmdb #test set
./lll-data/data/flowers_seed1_uniform5_train_lmdb #subset from train set for Retrospection
ImageNet2Flowersis taken as an example to illustrate the usage of the code. Please refer toimagenet2flowers.shfor the details, including training and evaluation.