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Hongliang Li

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
ORCID 0000-0002-7481-095X
same name
  • Hongliang Li — 13 papers, h 5
  • Hongliang Li — 8 papers, h 42
  • Hongliang Li — 6 papers, h 10
  • Hongliang Li — 4 papers, h 3
  • Hongliang Li — 3 papers
  • Hongliang Li — 3 papers, h 3

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 citedMCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Bridging the Gap Between End-to-End and Two-Step Text Spotting

Mingxin Huang, Hongliang Li, Yuliang Liu +2

Modularity plays a crucial role in the development and maintenance of complex systems. While end-to-end text spotting efficiently mitigates the issues of error accumulation and sub…

cs.CV2024★ 1 cited

MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning

Huiyu Xiong, Lanxiao Wang, Heqian Qiu +3

To address the problem of catastrophic forgetting due to the invisibility of old categories in sequential input, existing work based on relatively simple categorization tasks has m…

cs.CV2023

GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection

Hefei Mei, Taijin Zhao, Shiyuan Tang +5

Few-shot object detection (FSOD) aims to achieve object detection only using a few novel class training data. Most of the existing methods usually adopt a transfer-learning strateg…

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