open-mmlab/mmdetection

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

Ouverte

#11 005 ouverte le 7 oct. 2023

 (13 commentaires) (0 réaction) (1 personne assignée)Python (9 820 forks)batch import
good first issue

Métriques du dépôt

Stars
 (32 888 étoiles)
Métriques de merge PR
 (Aucune PR mergée en 30 j)

Description

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.

Guide contributeur