Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax
Solving long-tail large vocabulary object detection with deep learning based models is a challenging and demanding task, which is however under-explored. In this work, we provide the first systematic analysis on the underperformance of state-of-the-art models in front of long-tail distribution. We find existing detection methods are unable to model …