Goyal, Priya
Meta (United States)
8 papers on CoChatORCID 0009-0009-3125-9123
Most cited papers
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Focal Loss for Dense Object Detection
Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 30,581
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Focal Loss for Dense Object Detection
Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 9,556
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Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Caron, M., Misra, I., Mairal, J., Goyal, P., Bojanowski, P., & Joulin, A. (2020) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 2,499
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Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Goyal, P., Dollár, P., Girshick, R., Noordhuis, P., Wesolowski, L., Kyrola, A., Tulloch, A., Jia, Y., & He, K. (2017) · arXiv
Stochastic Gradient Optimization TechniquesParallel Computing and Optimization Techniques
Cited by 2,294
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Focal Loss for Dense Object Detection
Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollár, P. (2017) · arXiv
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 1,227
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Self-supervised Pretraining of Visual Features in the Wild
Goyal, P., Caron, M., Lefaudeux, B., Xu, M., Wang, P., Pai, V., Singh, M., Liptchinsky, V., Misra, I., Joulin, A., et al. (2021) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 141
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A Self-Supervised Descriptor for Image Copy Detection
Pizzi, E., Roy, S. D., Ravindra, S. N., Goyal, P., & Douze, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Digital Media Forensic DetectionImage Retrieval and Classification Techniques
Cited by 101
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Fairness indicators for systematic assessments of visual feature extractors
Goyal, P., Soriano, A. R., Hazirbas, C., Sagun, L., & Usunier, N. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 24
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