AINeutralarXiv – CS AI · 10h ago6/10
🧠
Benchmarking ResNet Backbones in RT-DETR: Impact of Depth and Regularization under environmental conditions
This research benchmarks RT-DETR object detection models with different ResNet backbones for competitive robotics applications, evaluating how environmental variations like lighting and background contrast affect detection performance. The study finds that intermediate-depth models (ResNet34 and ResNet50) offer optimal balance between accuracy, confidence, and latency, with ResNet50 excelling under illumination changes and ResNet34 performing best under background variations.