Search Results for author: Yeji Song

Found 2 papers, 1 papers with code

Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights

no code implementations10 Sep 2021 Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

To alleviate this problem, dynamic pruning methods have emerged, which try to find diverse sparsity patterns during training by utilizing Straight-Through-Estimator (STE) to approximate gradients of pruned weights.

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud

1 code implementation27 Jul 2020 Jaeseok Choi, Yeji Song, Nojun Kwak

In this paper, we propose part-aware data augmentation (PA-AUG) that can better utilize rich information of 3D label to enhance the performance of 3D object detectors.

3D Object Detection Data Augmentation

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