Web: http://arxiv.org/abs/2206.07643

June 16, 2022, 1:11 a.m. | Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wa

cs.LG updates on arXiv.org arxiv.org

Vision-language (VL) pre-training has recently received considerable
attention. However, most existing end-to-end pre-training approaches either
only aim to tackle VL tasks such as image-text retrieval, visual question
answering (VQA) and image captioning that test high-level understanding of
images, or only target region-level understanding for tasks such as phrase
grounding and object detection. We present FIBER (Fusion-In-the-Backbone-based
transformER), a new VL model architecture that can seamlessly handle both these
types of tasks. Instead of having dedicated transformer layers for fusion after …

arxiv cv fine fusion language pre-training training vision

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