Search Results for author: Kyujin Shim

Found 2 papers, 1 papers with code

BitNet: Learning-Based Bit-Depth Expansion

1 code implementation10 Oct 2019 Junyoung Byun, Kyujin Shim, Changick Kim

Since insufficient bit-depth may generate annoying false contours or lose detailed visual appearance, bit-depth expansion (BDE) from low bit-depth (LBD) images to high bit-depth (HBD) images becomes more and more important.

Decoder SSIM

Why Does the VQA Model Answer No?: Improving Reasoning through Visual and Linguistic Inference

no code implementations25 Sep 2019 Seungjun Jung, Junyoung Byun, Kyujin Shim, Changick Kim

Moreover, by modifying the VQA model’s answer through the output of the NLI model, we show that VQA performance increases by 1. 1% from the original model.

Common Sense Reasoning Question Answering +1

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