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August 30, 2024Open Access

Hybrid Classification-Regression Adaptive Loss for Dense Object Detection

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Authors

YHYanquan HuangZLZhen LiuZhejiang Sci-Tech UniversityHYHao YunDuPont (United States)

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Cite This Study

Huang et al. (2024) studied this question.

synapsesocial.com/papers/68e5a3f8b6db64358753e23dhttps://doi.org/10.48550/arxiv.2408.17182
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Focal Loss for Dense Object Detection2017 · 27,584 citations
  2. 2CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection2024
  3. 3Decoupled and Interactive Regression Modeling for High-performance One-stage 3D Object Detection2024 · 1 citations
  4. 4Efficient and Accurate Object Detection With Asymmetric Progressive Semi-Decoupled Head and Harmonic Focal Loss2026
  5. 5Hybrid Template Matching and Faster R-CNN for Robust Multimodal Object Detection2025