no code implementations • 14 Jun 2024 • Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyoung Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon, Sung Ju Hwang
In addition to improving the time complexity of the attention mechanism, we further optimize GPU memory usage by implementing KV cache offloading, which stores only $O(\log T)$ tokens on the GPU while maintaining similar decoding throughput.
1 code implementation • 6 Jul 2021 • Taehun Kim, Hyemin Lee, Daijin Kim
We construct a modified version of U-Net shape network with additional encoder and decoder and compute a saliency map in each bottom-up stream prediction module and propagate to the next prediction module.
Ranked #12 on
Medical Image Segmentation
on ETIS-LARIBPOLYPDB
1 code implementation • 17 Jan 2020 • Jungkyu Lee, Taeryun Won, Tae Kwan Lee, Hyemin Lee, Geonmo Gu, Kiho Hong
Recent studies in image classification have demonstrated a variety of techniques for improving the performance of Convolutional Neural Networks (CNNs).
Ranked #1 on
Fine-Grained Image Classification
on SOP
Fine-Grained Image Classification
Fine-Grained Visual Recognition
+4