Search Results for author: Janghyeon Lee

Found 6 papers, 2 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 object-detection +3

Residual Continual Learning

1 code implementation17 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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