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Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection.

, , and . CoRR, (2020)

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Robust and Accurate Object Detection Via Self-Knowledge Distillation., , , , and . ICIP, page 91-95. IEEE, (2022)HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance., , , , , and . ECCV (22), volume 13682 of Lecture Notes in Computer Science, page 516-533. Springer, (2022)A Simple and Effective Baseline for Robust Logo Detection., , and . ACM Multimedia, page 4784-4788. ACM, (2021)Universal Humanoid Motion Representations for Physics-Based Control., , , , , , and . CoRR, (2023)HDHumans: A Hybrid Approach for High-fidelity Digital Humans., , , , , and . Proc. ACM Comput. Graph. Interact. Tech., 6 (3): 36:1-36:23 (August 2023)NRST: Non-rigid Surface Tracking from Monocular Video., , , , , and . GCPR, volume 11269 of Lecture Notes in Computer Science, page 335-348. Springer, (2018)Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection., , and . CoRR, (2020)Neural monocular 3D human motion capture with physical awareness., , , , and . ACM Trans. Graph., 40 (4): 83:1-83:15 (2021)Real-time deep dynamic characters., , , , , and . ACM Trans. Graph., 40 (4): 94:1-94:16 (2021)Learning Dynamic Textures for Neural Rendering of Human Actors., , , , , , , and . IEEE Trans. Vis. Comput. Graph., 27 (10): 4009-4022 (2021)