Scene text recognition using vision-based text recognition
Scene Text Recognition (STR) continues to challenge researchers due to the diversity of text occurrences in natural environments. It is ...
Scene Text Recognition (STR) continues to challenge researchers due to the diversity of text occurrences in natural environments. It is ...
The arrival of automatic speech recognition (ASR) technologies has changed the way people interact with digital devices. Despite their capabilities, ...
Speech recognition technology has made significant advances, and advances in ai improve accessibility and accuracy. However, it still faces challenges, ...
Neural contextual bias allows speech recognition models to leverage contextually relevant information, improving transcription accuracy. However, the bias mechanism is ...
Meta is returning facial recognition technology to its apps more than three years after it shut down facebook's "facial recognition" ...
Generating accurate and aesthetically appealing visual texts in text-to-image generation models presents a significant challenge. While diffusion-based models have succeeded ...
In recent years, end-to-end automatic speech recognition (ASR) systems have proven to be remarkably accurate and effective, but these systems ...
Arlo is updating its Security cameras and video doorbells with additional artificial intelligence capabilitiesThe company is adding the ability for ...
Human and primate perception occurs on multiple time scales, with some visual attributes identified in less than 200 ms, thanks ...
End-to-end (E2E) neural networks have emerged as flexible and accurate models for multilingual automatic speech recognition (ASR). However, as the ...