36 citations · 117 across the 15 of their papers we have counts for
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cs.CV2023★ 2 cited
Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification
Chengguo Yuan, Yu Jin, Zongzhen Wu +4
Recognizing target objects using an event-based camera draws more and more attention in recent years. Existing works usually represent the event streams into point-cloud, voxel, im…
cs.CV2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+
Xiao Wang, Ying Wang, Ziwei Xuan +1
Unsupervised learning of vision transformers seeks to pretrain an encoder via pretext tasks without labels. Among them is the Masked Image Modeling (MIM) aligned with pretraining o…
cs.CV2023★ 14 cited
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
Xiao Wang, Guangyao Chen, Guangwu Qian +5
With the urgent demand for generalized deep models, many pre-trained big models are proposed, such as BERT, ViT, GPT, etc. Inspired by the success of these models in single domains…