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Wasserstein Introspective Neural Networks

, , , and . (2017)cite arxiv:1711.08875Comment: Accepted to CVPR 2018 (Oral).

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A State-of-Art Review on Intelligent Systems for Drawing Assisting., , and . HCI (5), volume 14015 of Lecture Notes in Computer Science, page 583-605. Springer, (2023)Pose Recognition With Cascade Transformers., , , , , and . CVPR, page 1944-1953. Computer Vision Foundation / IEEE, (2021)Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks., , , , , , , , and . CoRR, (2023)Exploring Visual Structures in Deep Representation Learning.. University of California, San Diego, USA, (2022)Guided Variational Autoencoder for Disentanglement Learning., , , , , , and . CVPR, page 7917-7926. Computer Vision Foundation / IEEE, (2020)Optimal Joint Offloading and Wireless Scheduling for Parallel Computing with Deadlines., , and . WiOpt, page 1-8. IEEE, (2019)Wasserstein Introspective Neural Networks, , , and . (2017)cite arxiv:1711.08875Comment: Accepted to CVPR 2018 (Oral).Instance Segmentation with Mask-supervised Polygonal Boundary Transformers., , and . CVPR, page 4372-4381. IEEE, (2022)Wasserstein Introspective Neural Networks., , , and . CVPR, page 3702-3711. Computer Vision Foundation / IEEE Computer Society, (2018)Line Segment Detection Using Transformers Without Edges., , , and . CVPR, page 4257-4266. Computer Vision Foundation / IEEE, (2021)