Experiment results on TextVQA and ST-VQA datasets demonstrate that SSGN achieves promising performances. And some visualization results further demonstrate the interpretability of our method.

MARVIS is a powerful framework for multi-modal classification that leverages Vision Language Models (VLMs) to perform classification on tabular, audio, and vision data through intelligent ...

same error, you can modify: toolkit/data_loader.py change dataloader_kwargs['num_workers'] = 0 windows is using dataloader_kwargs ['num_workers'] = 0, but linux default=2 ...

The datasets are challenging and by being procedurally generated and non-public thus the results can’t be due to memorization. The benchmark has 4 sub-tasks that test high-level and detailed ...

Visual question answering (VQA) plays a vital role in advancing surgical education. However, due to the privacy concern of patient data, training VQA model with previously used data becomes restricted ...