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detrflow – End-to-End RT-DETR Object Detection Pipeline

A production-ready object detection pipeline built on RT-DETR, reproducing the pretrained baseline (AP=47.9 on COCO val2017). Features a deployed HuggingFace Space, FastAPI inference API, and benchmark tooling.

Student Capacity Moderates Knowledge Distillation Effectiveness

Systematic study of knowledge distillation across ResNet teacher-student pairs on CIFAR-10. Identifies student capacity — not teacher-student accuracy gap — as the key moderating factor in KD effectiveness. Published as an arXiv preprint.

Real-Time Object Detection with YOLOv8

Real-time object detection pipeline using YOLOv8n, with bounding box rendering, class labels, and confidence scores on live video streams.

Student Capacity Moderates Knowledge Distillation Effectiveness: A Systematic Study Across ResNet Teacher-Student Pairs on CIFAR-10

Published in arXiv, 2026

Systematic ablation study comparing Logit-KD and Feature-KD across ResNet teacher-student pairs on CIFAR-10. Key findings: student capacity — not teacher-student accuracy gap — is the primary moderator of KD effectiveness; and implementation correctness critically affects Feature-KD performance.

Recommended citation: Yaşar, U. O. (2026). Student Capacity Moderates Knowledge Distillation Effectiveness. arXiv:2605.31191.
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