Abstract: The process of automatically generating descriptive captions for images has become an increasingly important research area that lies at the intersection of computer vision and natural ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: This paper develops a deep learning model, called Encoder-Recurrent Decoder Network (ERDN), which recovers the clear image from a degrade hazy image without using the atmospheric scattering ...

Running powerful AI on your smartphone isn’t just a hardware problem — it’s a model architecture problem. Most state-of-the-art vision encoders are enormous, and when you trim them down to fit on an ...

This module has been developed for quickly interface a rotary encoder with Raspberry Pi. It's based on the pigpio library (cause it proved to be faster than rpi.GPIO or gpiozero libraries) so you need ...

The following results were collected using the benchmarks directory in this repository. The documents tested are real-world messages collected from the Archipelago client. Benchmark environment: ...

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