Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification Article Swipe
Wenshuo Peng
,
Kaipeng Zhang
,
Yang Yue
,
Hao Zhang
,
Yu Qiao
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i5.28249
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i5.28249
Vision-language foundation models have been incredibly successful in a wide range of downstream computer vision tasks using adaptation methods. However, due to the high cost of obtaining pre-training datasets, pairs with weak image-text correlation in the data exist in large numbers. We call them weak-paired samples. Due to the limitations of these weak-paired samples, the pre-training model are unable to mine all the knowledge from pre-training data. The existing adaptation methods do not consider the missing knowledge, which may lead to crucial task-related knowledge for the downstream tasks being ignored. To address this issue, we propose a new adaptation framework called Data Adaptive Traceback (DAT). Specifically, we utilize a zero-shot-based method to extract the most downstream task-related subset of the pre-training data to enable the downstream tasks. Furthermore, we adopt a pseudo-label-based semi-supervised technique to reuse the pre-training images and a vision-language contrastive learning method to address the confirmation bias issue in semi-supervised learning. We conduct extensive experiments that show our proposed DAT approach meaningfully improves various benchmark datasets’ performance over traditional adaptation methods by simply.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1609/aaai.v38i5.28249
- https://ojs.aaai.org/index.php/AAAI/article/download/28249/28493
- OA Status
- diamond
- Cited By
- 1
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393153727
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https://openalex.org/W4393153727Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1609/aaai.v38i5.28249Digital Object Identifier
- Title
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Data Adaptive Traceback for Vision-Language Foundation Models in Image ClassificationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-03-24Full publication date if available
- Authors
-
Wenshuo Peng, Kaipeng Zhang, Yang Yue, Hao Zhang, Yu QiaoList of authors in order
- Landing page
-
https://doi.org/10.1609/aaai.v38i5.28249Publisher landing page
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https://ojs.aaai.org/index.php/AAAI/article/download/28249/28493Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://ojs.aaai.org/index.php/AAAI/article/download/28249/28493Direct OA link when available
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Computer science, Adaptation (eye), Task (project management), Artificial intelligence, Machine learning, Benchmark (surveying), Downstream (manufacturing), Labeled data, Natural language processing, Optics, Operations management, Management, Economics, Geography, Geodesy, PhysicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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