Methods › Computer Vision › Image Model Blocks › Local Patch Interaction

Local Patch Interaction

4 papers tagged archive 2025-07-28

Introduced by Alaaeldin El-Nouby et al. in XCiT: Cross-Covariance Image Transformers

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

Local Patch Interaction, or LPI, is a module used for the XCiT layer to enable explicit communication across patches. LPI consists of two depth-wise 3×3 convolutional layers with Batch Normalization and GELU non-linearity in between. Due to its depth-wise structure, the LPI block has a negligible overhead in terms of parameters, as well as a limited overhead in terms of throughput and memory usage during inference.

PaperSource

Papers archive 2025-07-28

4 shown of 4, 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

10 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
Image Classification3
image-classification2
Decoder1
Instance Segmentation1
Object Detection1
Pose Estimation1
Quantization1
Self-Supervised Image Classification1
Semantic Segmentation1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with Local Patch Interaction: 2021 to 2022, peak 2 2 0 2021: 2 papers 2021 2022: 2 papers 2022
Papers per year the archive tags with this method, by the paper's archive date (4 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

Image Model Blocks

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