ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post
A 365-day daily learning project documenting computer vision and deep learning concepts shared via LinkedIn posts.

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This repository catalogs a year-long learning journey focused on computer vision and deep learning. Each day covers a specific paper or model architecture, including object detection frameworks (EfficientDet, YOLO, DETR), segmentation networks (UNet, SegNet, DeconvNet), transformer architectures (ViT, DeiT), and visualization techniques. The posts reference top ML/CV venues like CVPR, ICCV, ECCV, and ICLR.