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Found 3 papers, 2 papers with code
Robust and Accurate Object Detection via Self-Knowledge Distillation
In this paper, we propose Unified Decoupled Feature Alignment (UDFA), a novel fine-tuning paradigm which achieves better performance than existing methods, by fully exploring the combination between self-knowledge distillation and adversarial training for object detection.
Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection
This method can perform well with blood cell detection in our experiments.
Privacy-Preserving Federated Learning on Partitioned Attributes
Real-world data is usually segmented by attributes and distributed across different parties.
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