Linking pages
- Vid2Seq: a pretrained visual language model for describing multi-event videos – Google AI Blog https://ai.googleblog.com/2023/03/vid2seq-pretrained-visual-language.html 16 comments
- Announcing WIT: A Wikipedia-Based Image-Text Dataset – Google AI Blog http://ai.googleblog.com/2021/09/announcing-wit-wikipedia-based-image.html 1 comment
- Looking Back at Google’s Research Efforts in 2018 – Google AI Blog https://ai.googleblog.com/2019/01/looking-back-at-googles-research.html 0 comments
- Crisscrossed Captions: Semantic Similarity for Images and Text – Google AI Blog https://ai.googleblog.com/2021/05/crisscrossed-captions-semantic.html 0 comments
- ALIGN: Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision – Google AI Blog https://ai.googleblog.com/2021/05/align-scaling-up-visual-and-vision.html 0 comments
- Multimodal Bottleneck Transformer (MBT): A New Model for Modality Fusion – Google AI Blog https://ai.googleblog.com/2022/03/multimodal-bottleneck-transformer-mbt.html 0 comments
- End-to-end Generative Pre-training for Multimodal Video Captioning – Google AI Blog https://ai.googleblog.com/2022/06/end-to-end-generative-pre-training-for.html 0 comments
- MLaaS, DON, The Joy of AI, Jupytext, AI Next, MTNT, GAN Lab, What-If Tool, Dataset Search,… | by elvis | DAIR.AI | Medium https://medium.com/dair-ai/mlaas-don-the-joy-of-ai-jupytext-ai-next-mtnt-gan-lab-what-if-tool-dataset-search-33b0309c62b9 0 comments
Linked pages
- Vision AI: Image & Visual AI Tools | Google Cloud https://cloud.google.com/vision/ 5 comments
- Transformer: A Novel Neural Network Architecture for Language Understanding – Google AI Blog https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html 3 comments
- COCO - Common Objects in Context http://cocodataset.org 2 comments
- GitHub - tensorflow/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. https://github.com/tensorflow/tensor2tensor 0 comments
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