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A Recipe for CAC: Mosaic-based Generalized Loss ...
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由 TH Chou 著作2024 — Abstract:Class agnostic counting (CAC) is a vision task that can be used to count the total occurrence number of any given reference objects ...
A Recipe for CAC: Mosaic-based Generalized Loss for ...
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由 TH Chou 著作2024 — It aims to count the occurrence number of target objects in an image. Object counting methods can be classified into two major categories: class-specific ob-.
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A Recipe for CAC: Mosaic-Based Generalized Loss ...
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由 TH Chou 著作2025 — In this paper, we point out a severe issue of the existing CAC framework: Given a multi-class setting, models don't consider reference images ...
A Recipe for CAC: Mosaic-based Generalized Loss ...
arXiv
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2024年11月18日 — These improvements demonstrate the importance and efficacy of applying the combination of mosaic augmentation and generalized loss on CAC models ...
A Recipe for CAC: Mosaic-based Generalized Loss ...
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Class agnostic counting (CAC) 是一项视觉任务，可用于计算查询图像中给定参考对象的总出现次数。该任务通常通过在参考对象的几个图像样本和查询图像之间进行相似性 ...
A Recipe for CAC: Mosaic-Based Generalized Loss ...
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2024年12月10日 — We show that ABC123 outperforms contemporary methods on MCAC without the requirement of human in-the-loop annotations. We also show that this ...
littlepenguin89106/MGCAC: [ACCV2024] Official ...
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[ACCV2024] Official implementation of "A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting" - littlepenguin89106/MGCAC.
A Recipe for CAC: Mosaic-Based Generalized Loss ... - CoLab
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2024年12月8日 — Chou T. et al. A Recipe for CAC: Mosaic-Based Generalized Loss for Improved Class-Agnostic Counting // Lecture Notes in Computer Science. 2024.
Tsung-Han Chou
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A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting · 1 code implementation • 15 Apr 2024 • Tsung-Han Chou, Brian Wang, ...
A Recipe for CAC: Mosaic-based Generalized Loss for ...
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The paper introduces a new method to improve object counting models in images. Existing models struggle in real-world scenarios with multiple object classes ...