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A Survey of Self-Supervised and Few-Shot Object Detection., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (4): 4071-4089 (April 2023)Multimodal Pretraining for Dense Video Captioning., , , , and . AACL/IJCNLP, page 470-490. Association for Computational Linguistics, (2020)Negative Momentum for Improved Game Dynamics., , , , , , and . CoRR, (2018)Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning., , , and . ICLR, OpenReview.net, (2021)Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification., , and . CoRR, (2019)GEO-Bench: Toward Foundation Models for Earth Monitoring., , , , , , , , , and 7 other author(s). CoRR, (2023)Adversarial Divergences are Good Task Losses for Generative Modeling., , , , and . CoRR, (2017)Scattering Networks for Hybrid Representation Learning., , , , , , and . CoRR, (2018)Parametric Adversarial Divergences are Good Task Losses for Generative Modeling., , , , , and . ICLR (Workshop), OpenReview.net, (2018)Negative Momentum for Improved Game Dynamics., , , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1802-1811. PMLR, (2019)