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Yuyang Liu

4 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
ORCID 0000-0002-3697-6561
same name
  • Yuyang Liu — 4 papers
  • Yuyang Liu — 2 papers
  • Yuyang Liu — 1 paper
  • Yuyang Liu — 1 paper
  • Yuyang Liu — 1 paper
  • Yuyang Liu — 1 paper

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

most citedAugmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation

Wei Cong, Yang Cong, Yuyang Liu +1

Incremental semantic segmentation endeavors to segment newly encountered classes while maintaining knowledge of old classes. However, existing methods either 1) lack guidance from…

cs.CV2023

Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation

Damian Sójka, Yuyang Liu, Dipam Goswami +3

The goal of the challenge is to develop a test-time adaptation (TTA) method, which could adapt the model to gradually changing domains in video sequences for semantic segmentation…

cs.CV2023★ 1 cited

Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection

Liu Yuyang, Cong Yang, Goswami Dipam +2

In incremental learning, replaying stored samples from previous tasks together with current task samples is one of the most efficient approaches to address catastrophic forgetting.…

cs.LG2023

Self-paced Weight Consolidation for Continual Learning

Wei Cong, Yang Cong, Gan Sun +2

Continual learning algorithms which keep the parameters of new tasks close to that of previous tasks, are popular in preventing catastrophic forgetting in sequential task learning…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.