caffe_proto_additional.txt

//added by Weifeng Ge for the CVPR 2017 spotlight paper "Borrowing Treasures from 
//the Wealth: Deep Transfer Learning through Selective Joint Fine-tuning"
//FeatureStatisticsParameter, KnnMatchParameter, BoostedJointTrainingDataParameter,
//HistFeatureParameter, SplitDataParameter and RandomCropDataParameter are added.

message FeatureStatisticsParameter {
  optional string feature_statistics_path = 1;
  optional int32 scales = 2[default=4];
  optional int32 total_channels = 7;
  repeated int32 num = 3;
  repeated int32 channels = 4;
  repeated int32 height = 5;
  repeated int32 width = 6;
  optional int32 saving_signal = 8[default=1000];
  optional string previous_statistics_path = 9;
  optional string new_feature_statistics_path = 10;
  optional int32 bin = 11[default = 100];
}
message KnnMatchParameter {
  optional int32 sample_num = 1[default=100000];
  optional int32 dim = 2[default=1536];
  optional int32 nodes_num = 3[default=100];
  optional int32 orientation = 4[default=6];
  optional int32 scale = 5[default=4];
  optional int32 bin = 6[default=32];
  optional string feature_path = 7;
  optional string image_retrieval_result = 8;
  optional int32 iterations = 9[default=100000];
  optional string channel_weight_path = 10;
  optional int32 feature_num = 11[default=100000];
}
message BoostedJointTrainingDataParameter {
  optional string source_domain_image_label_path = 1;
  optional string target_domain_image_label_path = 2;
  optional int32 source_domain_sample_num = 3[default=200000];
  optional int32 source_domain_class_num = 4[default=1000];
  optional int32 target_domain_sample_num = 5[default=2040];
  optional int32 target_domain_class_num = 6[default=102];
  optional string target_domain_sample_weight_path = 7;
  optional string target_nn_configuration_path = 8;
  optional int32 target_domain_train_num = 9[default=1020];
  optional int32 target_domain_val_num = 10[default=1020];
  optional int32 target_nn_in_source_num = 11[default=5000];
  optional int32 base_selected_nn_num = 12[default=1000];
  optional string target_val_label_path = 13;
  optional int32 target_domain_train_val_num = 14[default=2040];
  optional int32 highest_sample_level = 15[default=5];
  optional int32 least_sample_per_class = 16[default=50];
}
message HistFeatureParameter {
  optional string feature_statistics_path = 1;
  optional int32 scales = 2[default=4];
  optional int32 total_channels = 3;
  optional int32 bin = 4[default=32];
  optional string feature_path = 5;
  repeated double channel_weight =6;
  optional string channel_weight_path = 7;
}
message SplitDataParameter {
  optional int32 split_num = 1[default=100];
}
message RandomCropDataParameter {
  optional float lower_bound = 1 [default = 256];
  optional float upper_bound = 2 [default = 480];
}