Search Results for author: Janghyeon Lee

Found 5 papers, 1 papers with code

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

no code implementations27 Sep 2022 Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim

Pre-training vision-language models with contrastive objectives has shown promising results that are both scalable to large uncurated datasets and transferable to many downstream applications.

DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning

no code implementations17 Aug 2022 Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim

We show that this allows us to design a linear model where quadratic parameter regularization method is placed as the optimal continual learning policy, and at the same time enjoying the high performance of neural networks.

class-incremental learning Image Classification +1

TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection

1 code implementation23 Apr 2021 Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim

We present a novel approach for oriented object detection, named TricubeNet, which localizes oriented objects using visual cues ($i. e.,$ heatmap) instead of oriented box offsets regression.

object-detection Object Detection In Aerial Images +1

Residual Continual Learning

no code implementations17 Feb 2020 Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim

We propose a novel continual learning method called Residual Continual Learning (ResCL).

Continual Learning

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