Methods › Computer Vision › Vision Transformers › BatchFormer

Batch Transformer

BatchFormer

2 papers tagged archive 2025-07-28

Introduced by Zhi Hou et al. in BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

learn to explore the sample relationships via transformer networks

PaperSource

Papers archive 2025-07-28

2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

12 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Representation Learning2
Compositional Zero-Shot Learning1
Contrastive Learning1
Domain Generalization1
Image Classification1
Long-tail Learning1
Object Detection1
Panoptic Segmentation1
Zero-Shot Learning1
Zero-Shot Learning + Domain Generalization1
image-classification1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with BatchFormer: 2022 to 2022, peak 2 2 0 2022: 2 papers 2022
Papers per year the archive tags with this method, by the paper's archive date (2 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Vision Transformers

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