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20192024
most citedRevisiting Locally Supervised Learning: an Alternative to End-to-end Training

24 citations · 45 across the 9 of their papers we have counts for

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13 papers · 1 filter

cs.CV2024

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training

Yulin Wang, Yang Yue, Rui Lu +3

The superior performance of modern visual backbones usually comes with a costly training procedure. We contribute to this issue by generalizing the idea of curriculum learning beyo…

cs.CV2023

Computation-efficient Deep Learning for Computer Vision: A Survey

Yulin Wang, Yizeng Han, Chaofei Wang +3

Over the past decade, deep learning models have exhibited considerable advancements, reaching or even exceeding human-level performance in a range of visual perception tasks. This…

cs.CV20222 cited

AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition

Yulin Wang, Yang Yue, Xinhong Xu +6

Recent research has revealed that reducing the temporal and spatial redundancy are both effective approaches towards efficient video recognition, e.g., allocating the majority of c…

cs.CV2022

Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation

Wenxuan Ma, Jinming Zhang, Shuang Li +3

Extensive studies on Unsupervised Domain Adaptation (UDA) have propelled the deployment of deep learning from limited experimental datasets into real-world unconstrained domains. M…

cs.CV2021

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition

Yulin Wang, Yang Yue, Yuanze Lin +6

Recent works have shown that the computational efficiency of video recognition can be significantly improved by reducing the spatial redundancy. As a representative work, the adapt…

cs.CV2021

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition

Yulin Wang, Rui Huang, Shiji Song +2

Vision Transformers (ViT) have achieved remarkable success in large-scale image recognition. They split every 2D image into a fixed number of patches, each of which is treated as a…