This repository contains the code and resources accompanying the paper "Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference". It ...

Abstract: Latency-critical computer vision systems, such as autonomous driving or drone ... To ensure low latency on a near-sensor edge device, we propose the use of lightweight encoders with constant ...

Once the whole system is trained, the encoder can be used by itself as a computer vision system. If the encoder learns a representation of an image that consists of a set of objects and their 3D ...

The result looks much better - it is a good summary of the input text! Now, let's have a look at computer vision transformers before diving into the vision-text encoder-decoder architecture. 1 It can ...

Rotary encoders frequently play a critical role in these systems. Machine vision systems typically consist of a digital camera, a light source, and a computer processor that analyzes the captured ...