Methods › Computer Vision › Image Data Augmentation › PAA
Patch AutoAugment
PAA
Introduced by Shiqi Lin et al. in Local Patch AutoAugment with Multi-Agent Collaboration
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Patch AutoAugment is a patch-level automatic data augmentation algorithm that automatically searches for the optimal augmentation policies for the patches of an image. Specifically, PAA allows each patch DA operation to be controlled by an agent and models it as a Multi-Agent Reinforcement Learning (MARL) problem. At each step, PAA samples the most effective operation for each patch based on its content and the semantics of the whole image. The agents cooperate as a team and share a unified team reward for achieving the joint optimal DA policy of the whole image. PAA is co-trained with a target network through adversarial training. At each step, the policy network samples the most effective operation for each patch based on its content and the semantics of the image.
Papers archive 2025-07-28
10 shown of 10, 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.
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Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification 1 Jan 2025 · 0 repositories
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Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models 10 Dec 2024 · 1 repository · arXiv:2412.07144
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Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages 23 Oct 2023 · 0 repositories · arXiv:2310.15276
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Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models 10 Aug 2023 · 0 repositories · arXiv:2308.05881
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Impact of Sensing Range on Real-Time Adaptive Control of Signalized Intersections Using Vehicle Trajectory Information 3 Aug 2023 · 0 repositories · arXiv:2308.01646
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Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles 2 May 2023 · 1 repository · arXiv:2305.01165
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Personalized Dialogue Generation with Persona-Adaptive Attention 27 Oct 2022 · 1 repository · arXiv:2210.15088
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Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models 14 Nov 2021 · 0 repositories · arXiv:2111.07355
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TOOD: Task-aligned One-stage Object Detection 17 Aug 2021 · 6 repositories · arXiv:2108.07755Syntology ran 2 of 4 samples · 2 unverified · 2 pointer-only (licence)
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Local Patch AutoAugment with Multi-Agent Collaboration 20 Mar 2021 · 2 repositories · arXiv:2103.11099
Tasks archive 2025-07-28
20 shown of 21 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
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
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