Please refer to "Exploring the Limits of Weakly Supervised Pretraining" (https://arxiv.org/abs/1805.00932) presented at ECCV 2018 for the details of model training. First Online 09 October 2018 State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. Springer, Cham. Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten (Submitted on 2 May 2018) State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. Exploring the Limits of Weakly Supervised Pretraining ECCV 2018 • Dhruv Mahajan • Ross Girshick • Vignesh Ramanathan • Kaiming He • Manohar Paluri • Yixuan Li • Ashwin Bharambe • Laurens van der Maaten State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. Exploring theLimits of Weakly SupervisedPretraining Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten Facebook Abstract. Yet, ImageNet is now nearly ten years old and is by modern standards "small". 05/02/2018 ∙ by Dhruv Mahajan, et al. Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten Facebook Abstract. ∙ 0 ∙ share State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. In: Ferrari V., Hebert M., Sminchisescu C., Weiss Y. https://doi.org/10.1007/978-3-030-01216-8_12. ImageNet classi cation is the de Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten ; Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. May 2, 2018. Exploring the Limits of Weakly Supervised Pretraining. State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. ArXiv . Abstract. ImageNet classification is the de Exploring the Limits of Weakly Supervised Pretraining. ECCV 2018. Even so, relatively little is known about the behavior of … Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten Facebook Abstract. We are providing 4 models with different capacities. Our models significantly improve the training accuracy on ImageNet compared to training from scratch. (eds) Computer Vision – ECCV 2018. By: Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten. ImageNet classification is the de Mahajan D. et al. ImageNet classification is the de facto pretraining task for these models. State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. Lecture Notes in Computer Science, vol 11206. 181-196 (2018) Exploring the Limits of Weakly Supervised Pretraining.
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