  In recent years, as the Transformer has performed increasingly well on NLP
tasks, many researchers have ported the Transformer structure to vision tasks
,bridging the gap between NLP and CV tasks. In this work, we evaluate some deep
learning network for the detection track. Because the ground truth is mask, so
we can try both the current detection and segmentation method. We select the
DETR as our baseline through experiment. Besides, we modify the train strategy
to fit the dataset.
