1 code implementation • 17 Apr 2023 • TaeHo Kim, Jong-Min Lee
Our approach demonstrates improved performance when using non-object-centric images as pretraining data compared to other methods that train the model to be insensitive to geometric transformation.
1 code implementation • 15 Aug 2022 • Dongwoo Park, Jong-Min Lee
We propose a hierarchical attention network with sequentially large receptive fields to fully exploit the query and support images.
Ranked #1 on Few-Shot Object Detection on MS-COCO (1-shot)
1 code implementation • 8 Feb 2022 • Hyeokjin Kwon, Jong-Min Lee
There has been tremendous success in the field of graph neural networks (GNNs) as a result of the development of the message-passing (MP) layer, which updates the representation of a node by combining it with its neighbors to address variable-size and unordered graphs.