TiROD: Tiny Robotics Dataset and Benchmark for Continual Object Detection

ArXi:2409.16215v3 Announce Type: replace-cross Detecting objects with visual sensors is crucial for numerous mobile robotics applications, from autonomous navigation to inspection. However, robots often need to operate under significant domains shifts from those they were trained in, requiring them to adjust to these changes. Tiny mobile robots, subject to size, power, and computational constraints, face even greater challenges when running and adapting detection models on low-resolution and noisy images.