checkpoints of other numbers of shot

[frostinassiky]

Dear authors,

Thanks for publishing the code and pretrained checkpoint! I have validated the release model_12_34467.pth on my machine, the result is

~~~~ Summary metrics ~~~~
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.142
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.278
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.132
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.079
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.124
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.219
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.141
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.275
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.283
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.150
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.277
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.420

I think this is only for the 3-shot experiment. Do you have a plan to release other checkpoints, especially the 1-shot one on COCO?

[infinity7428]

I updated the code. However, uploading a fine-tuned model requires a lot of capacity. I will upload it if you want. I added a code for fine tuning, so I recommend using it.