Decision-level fusion with WBF outperforms feature-level fusion for occlusion-robust detection on ultra-low-end hardware, with gains up to +0.3827 mAP across three views and on-device execution on Coral boards.
Federated learning for computer vision
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A review that synthesizes AI methods for image enhancement, reconstruction, and quality assessment in portable medical imaging while identifying gaps for clinical use.
citing papers explorer
-
Tiny Collaborative Inference for Occlusion-Robust Object Detection
Decision-level fusion with WBF outperforms feature-level fusion for occlusion-robust detection on ultra-low-end hardware, with gains up to +0.3827 mAP across three views and on-device execution on Coral boards.
-
Portable Medical Imaging in Modern Healthcare: Fundamentals, AI-Based Taxonomy, Image Quality, and Open Challenges
A review that synthesizes AI methods for image enhancement, reconstruction, and quality assessment in portable medical imaging while identifying gaps for clinical use.