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Image-classification datasets have been used to pretrain image recognition models.
Wordnet: a lexical database for english
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Visualizing data using t-sne
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Imagenet: A large-scale hierarchical image database
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Wiktionary: A new rival for expert-built lexicons? Exploring the possibilities of collaborative lexicography
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Zero-shot recognition with unreliable attributes
Dinesh Jayaraman and Kristen Grauman · 2014
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Costa: Co-occurrence statistics for zero-shot classification
Thomas Mensink, Efstratios Gavves, and Cees GM Snoek · 2014
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Evaluation of output embeddings for fine-grained image classification
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Improved deep metric learning with multi-class n-pair loss objective
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Latent embeddings for zero-shot classification
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Zero-shot learning-the good, the bad and the ugly
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Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
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Zero-shot recognition via semantic embeddings and knowledge graphs
Xiaolong Wang, Yufei Ye, and Abhinav Gupta · 2018
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Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, and Boris Katz · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
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Do imagenet classifiers generalize to imagenet?
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, and Vaishaal Shankar · 2019
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Learning robust global representations by penalizing local predictive power
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Learning de-biased representations with biased representations
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Making pre-trained language models better few-shot learners
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Supervised contrastive learning
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Slip: Self-supervision meets language-image pre-training
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Learning transferable visual models from natural language supervision
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Filip: Fine-grained interactive language-image pre-training
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The many faces of robustness: A critical analysis of out-of-distribution generalization
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Scaling up visual and vision-language representation learning with noisy text supervision
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Learning debiased representation via disentangled feature augmentation
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Align before fuse: Vision and language representation learning with momentum distillation
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Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu · 2021
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Data distributional properties drive emergent few-shot learning in transformers
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Conditional prompt learning for vision-language models
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