most citedBridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023

Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data

Na Dong, Yongqiang Zhang, Mingli Ding +1

Real-world data tends to follow a long-tailed distribution, where the class imbalance results in dominance of the head classes during training. In this paper, we propose a frustrat…

cs.CV2021★ 5 cited

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection

Na Dong, Yongqiang Zhang, Mingli Ding +1

Deep networks have shown remarkable results in the task of object detection. However, their performance suffers critical drops when they are subsequently trained on novel classes w…