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Object Detection in Aerial Images with Uncertainty-Aware Graph Network. (arXiv:2208.10781v1 [cs.CV])
Aug. 24, 2022, 1:14 a.m. | Jongha Kim, Jinheon Baek, Sung Ju Hwang
cs.CV updates on arXiv.org arxiv.org
In this work, we propose a novel uncertainty-aware object detection framework
with a structured-graph, where nodes and edges are denoted by objects and their
spatial-semantic similarities, respectively. Specifically, we aim to consider
relationships among objects for effectively contextualizing them. To achieve
this, we first detect objects and then measure their semantic and spatial
distances to construct an object graph, which is then represented by a graph
neural network (GNN) for refining visual CNN features for objects. However,
refining CNN features …
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