Transformer in Computer Vision

Transformer architecture has achieved state-of-the-art results in many NLP (Natural Language Processing) tasks. Though CNN has been the domiant models for CV tasks, using Transformers for vision tasks became a new research direction for the sake of reducing architecture complexity, and exploring scalability and training efficiency.

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Price Earning Ratio

Most people know price earning ratio (P/E ratio or PE) and use it a way of value whether the stock is over-valued or not.

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MacPorts for Mac

The MacPorts Project is an open-source community initiative to design an easy-to-use system for compiling, installing, and upgrading either command-line, X11 or Aqua based open-source software on the Mac operating system.

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Anchor Free Object Detection

The most sucessfull single stage object detection algorithms, e.g., YOLO, SSD, all relies all some anchor to refine to the final detection location. For those algorithms, the anchor are typically defined as the grid on the image coordinates at all possible locations, with different scale and aspect ratio.

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