// the find
ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
A collection of 500 LinkedIn posts linking to computer vision paper summaries, compiled over a year. Each entry is a paper name and a bit.ly link — no code, no implementations, just a table of external references. It's a bookmark list, not a repository.
Covers a genuinely wide arc of CV topics from 2018–2022: detection (YOLO series, EfficientDet, CenterNet), segmentation (U-Net family, DeepLab variants, Mask R-CNN), transformers (ViT, Swin, DeiT), generative models (StyleGAN, DALL-E era), and 3D/NeRF work. The chronological structure inadvertently doubles as a timeline of what was hot in CV research year by year. Volume alone makes it a reasonable starting point if you're trying to survey the landscape of a specific subtopic and want paper names to search for.
There's no actual content here — every entry is a shortened URL to a LinkedIn post, which may be paywalled, deleted, or inaccessible without an account. The repo has been dead since June 2022 and stops well before diffusion models took over. Many bit.ly links from 2020–2021 are already rotting. There are no code pointers, no paper PDFs, no implementations, and entries like 'c3' or 'IDW-CNN' with no context are useless without clicking through.