In the few-shot fine-tuning phase, As only k labeled bounding boxes are available for the novel classes, we also include k boxes for each base class.

zhoushuang66 commented 3 years ago

paper:The second phase is few-shot fine-tuning. In this phase, we train the model on both base and novel classes. As only k labeled bounding boxes are available for the novel classes, to balance between samples from the base and novel classes, we also include k boxes for each base class. (3.2. Learning Scheme Section ). but the code that Feature Extractor learner label is large data (from train = /home/bykang/voc/voc_train.txt) In the few-shot fine-tuning phase. Do you have any suggestion or solution? can you help me? thanks.

zhoushuang66 commented 3 years ago

I know this problem, thanks.

chouxianyu commented 2 years ago

I have the same question ! Would you like to help me? Thanks. @zhoushuang66

bingykang / Fewshot_Detection

In the few-shot fine-tuning phase, As only k labeled bounding boxes are available for the novel classes, we also include k boxes for each base class. #44