AI RESEARCH
Benchmarking ResNet Backbones in RT-DETR: Impact of Depth and Regularization under environmental conditions
arXiv CS.AI
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ArXi:2605.08136v1 Announce Type: cross Visual perception plays a central role in competitive robotics, where environmental variations can directly affect real-time detection performance. The related literature on transformer-based detectors lack information regarding the impact of backbone scale and environmental settings on model performance. This work presents a comparative evaluation of RT-DETR for detecting round objects under environmental and hyperparameter variations relevant to competitive robotics.