3 citations · 5 across the 6 of their papers we have counts for
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cs.CV2024★ 1 cited
Rethinking Positive Pairs in Contrastive Learning
Jiantao Wu, Sara Atito, Zhenhua Feng +3
The training methods in AI do involve semantically distinct pairs of samples. However, their role typically is to enhance the between class separability. The actual notion of simil…
cs.CV2023★ 1 cited
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning
Jiantao Wu, Shentong Mo, Sara Atito +3
Recently, self-supervised metric learning has raised attention for the potential to learn a generic distance function. It overcomes the limitations of conventional supervised one,…
cs.CV2022★ 3 cited
Object-wise Masked Autoencoders for Fast Pre-training
Jiantao Wu, Shentong Mo
Self-supervised pre-training for images without labels has recently achieved promising performance in image classification. The success of transformer-based methods, ViT and MAE, d…