I am trying to rerun the models and see their performances. However, I realized that the performance of models with the ResNet50 backbone is significantly low. Below you may find the code output. Do you think this result is expected?
Best
Meta Test: LAST
feature UN L2N CL2N
GVP 1Shot 0.5127(0.0020) 0.5303(0.0020) 0.5161(0.0020)
GVP_5Shot 0.7143(0.0018) 0.7467(0.0016) 0.7165(0.0018)
Meta Test: LAST
feature UN L2N CL2N
GVP 1Shot 0.5127(0.0020) 0.5303(0.0020) 0.5161(0.0020)
GVP_5Shot 0.7143(0.0018) 0.7467(0.0016) 0.7165(0.0018)
Thank you for your great work!
I am trying to rerun the models and see their performances. However, I realized that the performance of models with the ResNet50 backbone is significantly low. Below you may find the code output. Do you think this result is expected?
Best
Meta Test: LAST feature UN L2N CL2N GVP 1Shot 0.5127(0.0020) 0.5303(0.0020) 0.5161(0.0020) GVP_5Shot 0.7143(0.0018) 0.7467(0.0016) 0.7165(0.0018)
Meta Test: LAST feature UN L2N CL2N GVP 1Shot 0.5127(0.0020) 0.5303(0.0020) 0.5161(0.0020) GVP_5Shot 0.7143(0.0018) 0.7467(0.0016) 0.7165(0.0018)