TranSDet: Toward Effective Transfer Learning for Small-Object Detection
Small-object detection is a challenging task in computer vision due to the limited training samples and low-quality images.Transfer learning, which transfers the knowledge learned from a large dataset to a small dataset, is a popular method for improving performance on limited data.However, we empirically find that due to the dataset discrepancy, d