Search Results for author: SeungHyun Jeon

Found 2 papers, 1 papers with code

Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps

2 code implementations13 Feb 2019 Beomsu Kim, Junghoon Seo, SeungHyun Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon

Saliency Map, the gradient of the score function with respect to the input, is the most basic technique for interpreting deep neural network decisions.

Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning

no code implementations8 Jun 2018 Junghoon Seo, Seunghyun Jeon, Taegyun Jeon

Object detection and classification for aircraft are the most important tasks in the satellite image analysis.

BIG-bench Machine Learning Classification +3

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