In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach of SegNet architecture ... then evaluate our model using TrashNet ...

Image features are extracted using pretrained VGG16 and VGG19 models, textual input is tokenized, and a unique Encoder-Decoder architecture is built. We determine the effect of training length on ...

Matrix3D utilises a multimodal diffusion transformer (DiT) The model was developed in partnership with Nanjing University and HKUST It is an open-source model available for download on GitHub ...

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