Earticle

초록

영어

In this paper, by cross-applying the DINO (DETR with Improved deNoising anchOrboxes) model to various datasets, we examine what characteristics of dataset are effective for traffic object detection training. DINO model is best DETR (DEtection with TRansformer)-like model in object detection. For the experiment, a total of two datasets were used: COCO and BDD100K datasets. As a result of evaluation with BDD100K dataset which contains diverse driving images, dataset with the same texture as the evaluation dataset showed similar performance with less data than the high texture dataset focused on each object.

목차

Abstract
I. INTRODUCTION
II. DATASET CROSS APPLICATION USING DINO MODEL
A. DINO model
B. Modify dataset
C. Experiments and Results
III. CONCLUSION
REFERENCES

저자

• Hyojun Lee [ Department of Electrical and Computer Engineering Inha University ]
• Bowon Lee [ Department of Electronic Engineering Inha University ] Corresponding Author

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