Intermediate-depth ResNet backbones in RT-DETR maintain near-perfect accuracy for round objects under lighting or background shifts, with ResNet50 best for illumination changes and ResNet34 best for background changes.
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
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Benchmarking ResNet Backbones in RT-DETR: Impact of Depth and Regularization under environmental conditions
Intermediate-depth ResNet backbones in RT-DETR maintain near-perfect accuracy for round objects under lighting or background shifts, with ResNet50 best for illumination changes and ResNet34 best for background changes.