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CSCWD: Cross-Scale Channel-wise Knowledge Distillation for Lightweight Tiny Object Detection on Edge Devices
Author1, Author2, Author3, Author4, Author5
knowledge distillationtiny object detectionedge computingreal-time processing
2609.30395
Builder Relevance
1h ago80%
Abstract
This study presents a framework for improving tiny object detection in aerial imagery by transferring high-resolution spatial representations from a teacher model to a compact student model.
Reality Card
Core Claim
The YOLO11n-CSCWD model achieves a mean average precision of 50.17% at an intersection-over-union threshold of 0.5, improving upon the baseline by 2.92 percentage points.
Method / Result
Achieved 50.32% mAP@0.5 on Raspberry Pi 5 with 82.32 ms latency.
Limitations
The study may face reproducibility concerns due to the specific hardware and configurations used for evaluation.
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