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Tech Xplore2d
Vision-language models gain spatial reasoning skills through artificial worlds and 3D scene descriptions
Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making ...
GitHub5d
A Neural Network based generative model for captioning images.
Added BLEU evaluation metric and batch processing of images to produce batches of captions. Clone the Repository to preserve Directory Structure For flickr30k put results_20130124.token and Flickr30K ...
C&EN9d
Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events
To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource information: one is MAEDDI, which can predict DDIs, and the other is MAEDDIE, which can ...
Hugging Face Releases SmolVLA Open Source AI Model For Robotics Workflows
According to Hugging Face, advancements in robotics have been slow, despite the growth in the AI space. The company says that ...
IEEE22d
Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture
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 ...
IEEE27d
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data
Abstract: The segmentation of diversified roads and buildings from high-resolution aerial images is essential for various applications ... We introduce O-SegNet- the robust encoder and decoder ...