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20192026
most citedPointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

418 citations · 1.1k across the 26 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022

Attentive Mask CLIP

Yifan Yang, Weiquan Huang, Yixuan Wei +8

Image token removal is an efficient augmentation strategy for reducing the cost of computing image features. However, this efficient augmentation strategy has been found to adverse…

cs.CV2022★ 16 cited

Expanding Language-Image Pretrained Models for General Video Recognition

Bolin Ni, Houwen Peng, Minghao Chen +5

Contrastive language-image pretraining has shown great success in learning visual-textual joint representation from web-scale data, demonstrating remarkable "zero-shot" generalizat…

cs.CV2022★ 22 cited

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

Kan Wu, Jinnian Zhang, Houwen Peng +4

Vision transformer (ViT) recently has drawn great attention in computer vision due to its remarkable model capability. However, most prevailing ViT models suffer from huge number o…

cs.CV2022★ 418 cited

PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Guocheng Qian, Yuchen Li, Houwen Peng +4

PointNet++ is one of the most influential neural architectures for point cloud understanding. Although the accuracy of PointNet++ has been largely surpassed by recent networks such…

cs.CV2022★ 8 cited

MiniViT: Compressing Vision Transformers with Weight Multiplexing

Jinnian Zhang, Houwen Peng, Kan Wu +4

Vision Transformer (ViT) models have recently drawn much attention in computer vision due to their high model capability. However, ViT models suffer from huge number of parameters,…