Indonesia–English Bilingual Visual Question Answering Using Partial Fine-Tuning on a ViT-GPT2 Architecture
An Indonesia–English bilingual VQA model based on the VisionEncoderDecoderModel architecture is proposed, which combines a Vision Transformer as the visual encoder and an Indonesian GPT-2 model as the language decoder.