tl;dr We combine the efficiancy of convolutional approaches with the expressivity of transformers by introducing a convolutional VQGAN, which learns a codebook of context-rich visual parts, whose ...
It has been well documented that failures in key procedures such as racking mechanisms ... This Substation Maintenance Training course will cover the maintenance and testing requirements for common ...
This repository contains the code for the PAMI 2023 paper TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving. This work is a journal extension of the CVPR 2021 paper ...