A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

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The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...

Abstract: Facial image colorization is a challenging task in computer vision, aimed at generating realistic and accurate colored versions of grayscale facial images. This study introduces a novel ...

and 3.4x smaller vision encoder. Our larger variants using Qwen2-7B LLM outperform recent works like Cambrian-1-8B while using a single image encoder with a 7.9x faster TTFT. Demo iOS app to ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved ... network with large receptive fields (GLNet) based on an encoder-decoder model with ...

Image credit ... They then combined these models to create data suitable for training an artificial neural network to understand how the fish use their “electric vision” to find food. The ANN let them ...

Researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like 'no' and 'not.' This could cause them to fail unexpectedly when asked to ...