2 papers
cs.CV2024
CNG-SFDA:Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
Hyeonwoo Cho, Chanmin Park, Dong-Hee Kim +2
Domain shift occurs when training (source) and test (target) data diverge in their distribution. Source-Free Domain Adaptation (SFDA) addresses this domain shift problem, aiming to…
cs.CV2024
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
Dong-Hee Kim, Sungduk Cho, Hyeonwoo Cho +3
In this work, we introduce Mask-JEPA, a self-supervised learning framework tailored for mask classification architectures (MCA), to overcome the traditional constraints associated…