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I'm very interseted in your works. But when I experimented with the UCF101 dataset, the results were not encouraging ( just around 1%). Looking forward to your reply. THX!
I'm very interseted in your works. But when I experimented with the UCF101 dataset, the results were not encouraging ( just around 1%). Looking forward to your reply. THX!
The parameters of the experiment are as follows:
CUDA_VISIBLE_DEVICES=0,3,4,5 python stage1.py
dataset=ucf101
data_dir=/data/ymy/data/
train_stage=1
batch_size=32
num_segments_glancer=8
num_segments_focuser=12
glance_size=224
patch_size=144
random_patch=True
epochs=10
backbone_lr=0.00001
fc_lr=0.01
lr_type=cos
dropout=0.5
load_pretrained_focuser_fc=False
dist_url=tcp://127.0.0.1:8816
eval_freq=1
start_eval=0
print_freq=25
workers=16
pretrained_glancer='/data/AdaFocus-main/mobilenetv2_segment8.pth.tar'
pretrained_focuser='/data/AdaFocus-main/resnet50_segment12.pt.tar' # load the pretrained model
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