most citedQuery Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks

6 citations · 11 across the 3 of their papers we have counts for

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cs.CV2023★ 2 cited

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

Jiawei Ma, Yulei Niu, Jincheng Xu +3

Generalized few-shot object detection aims to achieve precise detection on both base classes with abundant annotations and novel classes with limited training data. Existing approa…

cs.CV2021★ 6 cited

Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks

Guangxing Han, Yicheng He, Shiyuan Huang +2

Few-shot object detection (FSOD) aims to detect never-seen objects using few examples. This field sees recent improvement owing to the meta-learning techniques by learning how to m…