U-Net has become a standard model for medical image segmentation, alleviating the challenges posed by the costly acquisition and labeling of medical data. The convolutional layer, a fundamental ...

Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a fine-grained ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

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

The separation of encoder and decoder components represents a promising future direction for wearable AI devices, efficiently balancing response quality, privacy protection, latency and power ...

For instance, their METRE framework employs multiple sub-architectures, including vision encoders, decoder modules, text encoders, and multimodal fusion modules, to enhance the model's ability to ...

AIMv2: A New Approach Apple has taken on this challenge with the release of AIMv2, a family of open-set vision encoders designed to improve upon existing models in multimodal understanding and object ...

Honor says it is utilizing on-device AI models to make things more comfortable for people using its phones.

Florence-2 employs a sequence-to-sequence framework, combining an image encoder with a multi-modality encoder-decoder capable of interpreting simple text prompts to execute tasks such as ...