CoSWA-YOLOv12: Scale-Invariant Tiny Object Detection and Segmentation of Malaria Parasites

arXiv:2609.29527 · cs.CV, cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

• Accuracy — 5× in this paper · explained in 1 episode
• Wavelet Detail Residual — 5× in this paper
• Wasserstein Distance — 4× in this paper · explained in 4 episodes
• Core — 2× in this paper · explained in 2 episodes
• Instance Segmentation — 2× in this paper · explained in 3 episodes
• 2-Wasserstein Distance — 1× in this paper · explained in 1 episode
• Ablation — 1× in this paper · explained in 1 episode
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• YOLOv12: Attention-Centric Real-Time Object Detectors
• A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

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