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Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images.

, , , , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 8 (1): 710-723 (February 2024)

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Two attempts at linking robots with disaster information: InfoBalloon and garekiengineering., and . Adv. Robotics, 16 (6): 545-548 (2002)Facial point detection using convolutional neural network transferred from a heterogeneous task., , , and . ICIP, page 2725-2729. IEEE, (2015)Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images., , , , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 8 (1): 710-723 (February 2024)LogoNet: Layer-Aggregated Attention CenterNet for Logo Detection., , , , , , and . ICCE, page 1-6. IEEE, (2021)Improving Quality of Training Samples Through Exhaustless Generation and Effective Selection for Deep Convolutional Neural Networks., , , and . VISAPP (2), page 228-235. SciTePress, (2015)Hand posture recognition based on bottom-up structured deep convolutional neural network with curriculum learning., and . ICIP, page 853-857. IEEE, (2014)Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images., , , , , , , , , and . EMBC, page 1536-1539. IEEE, (2022)Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images., , , , , , , , , and 2 other author(s). EMBC, page 1-4. IEEE, (2023)