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We present MOFI, Manifold OF Images, a new vision foundation model designed to learn image representations from noisy entity annotated images.
Imagenet: A large-scale hierarchical image database
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Poincaré embeddings for learning hierarchical representations
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Revisiting unreasonable effectiveness of data in deep learning era
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Attention is all you need
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Exploring the limits of weakly supervised pretraining
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Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, and Ondřej Chum · 2018
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Cosface: Large margin cosine loss for deep face recognition
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Zhifeng Li, Dihong Gong, Jin Zhou, and Wei Liu · 2018
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Unsupervised feature learning via non-parametric instance discrimination
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Graph-rise: Graph-regularized image semantic embedding
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Bootstrap your own latent-a new approach to self-supervised learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, et al · 2020
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Momentum contrast for unsupervised visual representation learning
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Oscar: Object-semantics aligned pre-training for vision-language tasks
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Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
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A large-scale study of representation learning with the visual task adaptation benchmark
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, Andre Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, and Neil Houlsby · 2020
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Uniclip: Unified framework for contrastive language-image pre-training
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Multi-scale transformer-based feature combination for image retrieval
Carlos Roig Mari, David Varas Gonzalez, and Elisenda Bou-Balust · 2022
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Slip: Self-supervision meets language-image pre-training
Norman Mu, Alexander Kirillov, David Wagner, and Saining Xie · 2022
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K-lite: Learning transferable visual models with external knowledge
Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, et al · 2022
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Masked feature prediction for self-supervised visual pre-training
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan Yuille, and Christoph Feichtenhofer · 2022
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Emerging properties in self-supervised vision transformers
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Exploring simple siamese representation learning
Xinlei Chen and Kaiming He · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
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Scaling up visual and vision-language representation learning with noisy text supervision
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Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Gpr1200: A benchmark for general-purpose content-based image retrieval
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Unified contrastive learning in image-text-label space
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Coca: Contrastive captioners are image-text foundation models
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Opt: Open pre-trained transformer language models
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Less is more: Removing text-regions improves clip training efficiency and robustness
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Stair: Learning sparse text and image representation in grounded tokens
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Datacomp: In search of the next generation of multimodal datasets
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Open-domain visual entity recognition: Towards recognizing millions of wikipedia entities
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Scaling language-image pre-training via masking
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, and Kaiming He · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Combined scaling for zero-shot transfer learning
Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, Yi-Ting Chen, Minh-Thang Luong, Yonghui Wu, Mingxing Tan, and Quoc V. Le · 2023
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Self supervision does not help natural language supervision at scale
Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, and Tom Gunter · 2023
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Non-contrastive learning meets language-image pre-training
Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, and Furu Wei · 2023
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