Abstract: We present an unsupervised visual feature learning algorithm driven by context-based pixel prediction. By analogy with auto-encoders, we propose Context Encoders - a convolutional neural ...

Encoders are a vital component in many applications that require motion control and feedback information. Whether a system’s requirement is speed, direction, or distance, an encoder produces control ...

As AI systems grow increasingly multimodal, the role of visual perception models becomes more complex. Vision encoders are expected not only to recognize objects and scenes, but also to support tasks ...

Precision of rotational and linear measurement underpins motion control systems, and optical encoders are a mainstay in delivering this. Converting mechanical motion into digital signals enables ...

Encoders are widely used in the motion control and automation industry to monitor the position and speed of motors. This information can be used by the motion control electronics to detect if the ...

In robotics, movements must be precise and well-controlled. As robots are asked to do more as industry becomes more familiar with the technology, there will be an increasing need for high accuracy ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...