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CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 26× · AI/ML
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CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters

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CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters is a scholarly article[1].

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  • CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnn-filter-db-an-empirical-investigation-of-trained-convolutional-filters
MLA “CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnn-filter-db-an-empirical-investigation-of-trained-convolutional-filters.
BibTeX @misc{4ortxyz_cnn-filter-db-an-empirical-investigation-of-trained-convolutional-filters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters}}, year = {2026}, url = {https://4ort.xyz/entity/cnn-filter-db-an-empirical-investigation-of-trained-convolutional-filters}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters — https://4ort.xyz/entity/cnn-filter-db-an-empirical-investigation-of-trained-convolutional-filters (retrieved 2026-05-24)

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