We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Abstract: Recently graph auto-encoders have received increasingly widespread attention as one of the important models in the field of deep learning. Existing graph auto-encoder models only use graph ...

These components are probably the most valuable parts you can salvage from old gear. They are essential if you are working on ...

Abstract: The calibration of a rotary table enables the quantitative evaluation of its performance and the traceability of angular motion parameters. However, there are few studies on the calibration ...

An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...