B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers

Research article (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024) · cited 22× · AI/ML
Press Enter · cited answer in seconds

B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers

Summary

B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers is a scholarly article[1].

Key Facts

  • B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/b-cos-alignment-for-inherently-interpretable-cnns-and-vision-transformers
MLA “B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/b-cos-alignment-for-inherently-interpretable-cnns-and-vision-transformers.
BibTeX @misc{4ortxyz_b-cos-alignment-for-inherently-interpretable-cnns-and-vision-transformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers}}, year = {2026}, url = {https://4ort.xyz/entity/b-cos-alignment-for-inherently-interpretable-cnns-and-vision-transformers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers — https://4ort.xyz/entity/b-cos-alignment-for-inherently-interpretable-cnns-and-vision-transformers (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/b-cos-alignment-for-inherently-interpretable-cnns-and-vision-transformers · Last refreshed: