30 citations · 31 across the 5 of their papers we have counts for
6 papers
Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
Taehoon Kim, Wonjun Hwang, Hyunsouk Cho
Vision-language models such as CLIP enable zero-shot classification from arbitrary class names, but under test-time corruptions, their visual encoder projects distorted features on…
SRIL: Selective Regularization for Class-Incremental Learning
Jisu Han, Jaemin Na, Wonjun Hwang
Human intelligence gradually accepts new information and accumulates knowledge throughout the lifespan. However, deep learning models suffer from a catastrophic forgetting phenomen…
ORC: Network Group-based Knowledge Distillation using Online Role Change
Junyong Choi, Hyeon Cho, Seokhwa Cheung +1
In knowledge distillation, since a single, omnipotent teacher network cannot solve all problems, multiple teacher-based knowledge distillations have been studied recently. However,…
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection
Hyeon Cho, Junyong Choi, Geonwoo Baek +1
Point-cloud based 3D object detectors recently have achieved remarkable progress. However, most studies are limited to the development of network architectures for improving only t…
Contrastive Vicinal Space for Unsupervised Domain Adaptation
Jaemin Na, Dongyoon Han, Hyung Jin Chang +1
Recent unsupervised domain adaptation methods have utilized vicinal space between the source and target domains. However, the equilibrium collapse of labels, a problem where the so…
Self-Supervised Visual Learning by Variable Playback Speeds Prediction of a Video
Hyeon Cho, Taehoon Kim, Hyung Jin Chang +1
We propose a self-supervised visual learning method by predicting the variable playback speeds of a video. Without semantic labels, we learn the spatio-temporal visual representati…