open-mmlab/mmdetection

SwinT Weight Fine-tuning Leads to Drastic Decline in 'Pole' Object Detection in GroundingDINO

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#11,005 建立於 2023年10月7日

 (13 則留言) (0 個反應) (1 位負責人)Python (9,819 個分叉)batch import
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Dear Author,

Firstly, I would like to express my gratitude for providing the fine-tuning methods for GroundingDINO. Your work is deeply appreciated. However, I've noticed a significant discrepancy in the detection results for the 'pole' object, before and after fine-tuning the SwinT weights. As illustrated in the attached image, after fine-tuning, the model seems unable to detect the 'pole' category in the image. I'm genuinely puzzled by this outcome. Could you perhaps shed some light on why this might be happening?

Furthermore, if I want to specifically fine-tune the model for the 'pole' category, could you suggest a specific method or strategy?

Thank you so much for your time and assistance. Your insights will be invaluable to my work.

Warm regards.

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