AI RESEARCH
A3-FPN: Asymptotic Content-Aware Pyramid Attention Network for Dense Visual Prediction
arXiv CS.CV
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ArXi:2604.10210v1 Announce Type: new Learning multi-scale representations is the common strategy to tackle object scale variation in dense prediction tasks. Although existing feature pyramid networks have greatly advanced visual recognition, inherent design defects inhibit them from capturing discriminative features and recognizing small objects. In this work, we propose Asymptotic Content-Aware Pyramid Attention Network (A3-FPN), to augment multi-scale feature representation via the asymptotically disentangled framework and content-aware attention modules.