Robust Object Detection with Multi-input Multi-output Faster R-CNN

Sebastian Cygert, Andrzej Czyzewski

Abstract: Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO).