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ucbdrive / few-shot-object-detection

Implementations of few-shot object detection benchmarks
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Novel class label can't be seen in log files with multiple runs. #138

Closed ElifErarslan1 closed 2 years ago

ElifErarslan1 commented 2 years ago

Hello, When I try to fine-tune a custom dataset, novel ap reaches a maximum of 23.4% AP. However, when I run multiple experiments with run_experiments.py, I can't see the novel class label on the log screen, and nAP seems very high. But in config files for all classes, both novel and base classes are included. I am confused about if multiple runs take the novel class. And if it also takes the novel category why nAP is very high compared to fine-tuning? Can you please help me to solve this conflict?

thomasehuang commented 2 years ago

Running run_experiments.py actually trains models on the PASCAL VOC dataset by default. Did you modify the file to run experiments on your dataset? If not, that may explain why there's a difference in nAP.