Pre-training image-language transformers for open-vocabulary tasks

• URL: http://arxiv.org/abs/2209.04372v1
• Date: Fri, 9 Sep 2022 16:11:11 GMT
• Title: Pre-training image-language transformers for open-vocabulary tasks
• Authors: AJ Piergiovanni and Weicheng Kuo and Anelia Angelova
• Abstract summary: We present a pre-training approach for vision and language transformer models, which is based on a mixture of diverse tasks. We explore both the use of image-text captioning data in pre-training, which does not need additional supervision, as well as object-aware strategies to pre-train the model. We evaluate the method on a number of textgenerative vision+language tasks, such as Visual Question Answering, visual entailment and captioning, and demonstrate large gains over standard pre-training methods.
• Score: 53.446599611203474
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present a pre-training approach for vision and language transformer models, which is based on a mixture of diverse tasks. We explore both the use of image-text captioning data in pre-training, which does not need additional supervision, as well as object-aware strategies to pre-train the model. We evaluate the method on a number of textgenerative vision+language tasks, such as Visual Question Answering, visual entailment and captioning, and demonstrate large gains over standard pre-training methods.

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