21 citations · 37 across the 4 of their papers we have counts for
4 papers
DreamLLM: Synergistic Multimodal Comprehension and Creation
Runpei Dong, Chunrui Han, Yuang Peng +11
This paper presents DreamLLM, a learning framework that first achieves versatile Multimodal Large Language Models (MLLMs) empowered with frequently overlooked synergy between multi…
Reversible Column Networks
Yuxuan Cai, Yizhuang Zhou, Qi Han +4
We propose a new neural network design paradigm Reversible Column Network (RevCol). The main body of RevCol is composed of multiple copies of subnetworks, named columns respectivel…
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
Xiangwen Kong, Xiangyu Zhang
Recently, Masked Image Modeling (MIM) achieves great success in self-supervised visual recognition. However, as a reconstruction-based framework, it is still an open question to un…
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning
Junqiang Huang, Xiangwen Kong, Xiangyu Zhang
We focus on better understanding the critical factors of augmentation-invariant representation learning. We revisit MoCo v2 and BYOL and try to prove the authenticity of the follow…