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Chuanguang Yang

48 papers hereh-index 191.5k citations80 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author12
  • middle author32
  • last author1

Across the 45 of 48 papers where every author was matched, so the position is known.

fields
  • cs.CV40
  • cs.LG2
  • cs.NE2
  • cs.AI1
  • cs.RO1
  • cs.SD1
same name
  • Chuanguang Yang — 15 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedCross-Image Relational Knowledge Distillation for Semantic Segmentation

9 citations · 22 across the 38 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 2 cited

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition

Chuanguang Yang, Zhulin An, Helong Zhou +5

Unlike the conventional Knowledge Distillation (KD), Self-KD allows a network to learn knowledge from itself without any guidance from extra networks. This paper proposes to perfor…

cs.CV2022★ 2 cited

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition

Chuanguang Yang, Zhulin An, Helong Zhou +3

The teacher-free online Knowledge Distillation (KD) aims to train an ensemble of multiple student models collaboratively and distill knowledge from each other. Although existing on…

cs.CV2022

Localizing Semantic Patches for Accelerating Image Classification

Chuanguang Yang, Zhulin An, Yongjun Xu

Existing works often focus on reducing the architecture redundancy for accelerating image classification but ignore the spatial redundancy of the input image. This paper proposes a…

cs.CV2022★ 9 cited

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

Chuanguang Yang, Helong Zhou, Zhulin An +3

Current Knowledge Distillation (KD) methods for semantic segmentation often guide the student to mimic the teacher's structured information generated from individual data samples.…

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