most citedMeta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

11 citations · 11 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 11 cited

Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

Guangxing Han, Shiyuan Huang, Jiawei Ma +2

Few-shot object detection (FSOD) aims to detect objects using only a few examples. How to adapt state-of-the-art object detectors to the few-shot domain remains challenging. Object…

cs.LG2018

Drug Selection via Joint Push and Learning to Rank

Yicheng He, Junfeng Liu, Xia Ning

Selecting the right drugs for the right patients is a primary goal of precision medicine. In this manuscript, we consider the problem of cancer drug selection in a learning-to-rank…