why the config in the fine-tuning stage only set the K-shot as 9-shot?

[ztyxd]

Hello, why the config in the fine-tuning stage only set the K-shot as 9-shot?

The config is as below:

BASE: "Base-FSOD-C4.yaml"
MODEL:
WEIGHTS: "./output/fsod/R_50_C4_1x/model_final.pth"
MASK_ON: False
RESNETS:
DEPTH: 50
BACKBONE:
FREEZE_AT: 5
DATASETS:
TRAIN: ("coco_2017_train_voc_10_shot",)
TEST: ("coco_2017_val",)
SOLVER:
IMS_PER_BATCH: 4
BASE_LR: 0.001
STEPS: (2000, 3000)
MAX_ITER: 3000
WARMUP_ITERS: 200
INPUT:
FS:
FEW_SHOT: True
SUPPORT_WAY: 2
SUPPORT_SHOT: 9
MIN_SIZE_TRAIN: (440, 472, 504, 536, 568, 600)
MAX_SIZE_TRAIN: 1000
MIN_SIZE_TEST: 600
MAX_SIZE_TEST: 1000
OUTPUT_DIR: './output/fsod/finetune_dir/R_50_C4_1x'

[180041123-Atiq]

I am not sure if I am getting you correctly or not, I also thought why shot number is 9 since they claimed to finetune their model with 10 shots.
Its because cfg.FS.SUPPORT_SHOT is for support feature which probably get used for attention feature map (there is clear description of the terminologies in the paper). And the k-shot depends on how many samples/instances we register using fewx.data.builtin module.
Hence k-shot is not the cfg.FS.SUPPORT_SHOT. And cfg.FS.SUPPORT_SHOT is 9 because if we use an image as query there can be only 9 other images left (assuming k-shot is 10) to include. You will be more clear if you go through the DatasetMapperWithSupport.generate_support() method.