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01 ·CNNs & Image Recognition·★ MEMBER·PAPER·9 min read Object Detection from Scratch (from YOLO to DETR) A from-zero guide to object detection: the classic toolkit of two-stage detectors, anchors, and NMS — and how DETR reframed the whole problem to make all of it unnecessary. Primary source: the DETR paper. 02 ·CNNs & Image Recognition·★ MEMBER·PAPER·8 min read The CNN Family Tree — From AlexNet to ResNet and EfficientNet A decade of CNNs told as two campaigns — the race for depth and the race for efficiency. ReLU, residual connections, and compound scaling explained from scratch with metaphors, interactive figures, and code.