1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Accelerating Augmentation Invariance Pretraining
Jinhong Lin, Cheng-En Wu, Yibing Wei +1
Our work tackles the computational challenges of contrastive learning methods, particularly for the pretraining of Vision Transformers (ViTs). Despite the effectiveness of contrast…
cs.CV2024
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning
Yibing Wei, Abhinav Gupta, Pedro Morgado
Masked Image Modeling (MIM) has emerged as a promising method for deriving visual representations from unlabeled image data by predicting missing pixels from masked portions of ima…
cs.CV2023★ 1 cited
SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge
Zepeng Liu, Zhicheng Yang, Mingye Zhu +5
Image dehazing is a meaningful low-level computer vision task and can be applied to a variety of contexts. In our industrial deployment scenario based on remote sensing (RS) images…