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pro vyhledávání: '"FU, CHONG"'
Tremendous breakthroughs have been developed in Semi-Supervised Semantic Segmentation (S4) through contrastive learning. However, due to limited annotations, the guidance on unlabeled images is generated by the model itself, which inevitably exists n
Externí odkaz:
http://arxiv.org/abs/2402.18117
The increasing computational demands of deep learning models pose significant challenges for edge devices. To address this, we propose a memristor-based circuit design for MobileNetV3, specifically for image classification tasks. Our design leverages
Externí odkaz:
http://arxiv.org/abs/2402.10512
Semi-Supervised Semantic Segmentation (S4) aims to train a segmentation model with limited labeled images and a substantial volume of unlabeled images. To improve the robustness of representations, powerful methods introduce a pixel-wise contrastive
Externí odkaz:
http://arxiv.org/abs/2307.09755
The ability of scene understanding has sparked active research for panoramic image semantic segmentation. However, the performance is hampered by distortion of the equirectangular projection (ERP) and a lack of pixel-wise annotations. For this reason
Externí odkaz:
http://arxiv.org/abs/2303.14360
Trojan attack on deep neural networks, also known as backdoor attack, is a typical threat to artificial intelligence. A trojaned neural network behaves normally with clean inputs. However, if the input contains a particular trigger, the trojaned mode
Externí odkaz:
http://arxiv.org/abs/2302.14500
Vertical Federated Learning (VFL) is a trending collaborative machine learning model training solution. Existing industrial frameworks employ secure multi-party computation techniques such as homomorphic encryption to ensure data security and privacy
Externí odkaz:
http://arxiv.org/abs/2212.00325
Recent breakthroughs in semi-supervised semantic segmentation have been developed through contrastive learning. In prevalent pixel-wise contrastive learning solutions, the model maps pixels to deterministic representations and regularizes them in the
Externí odkaz:
http://arxiv.org/abs/2210.14670
The popular methods for semi-supervised semantic segmentation mostly adopt a unitary network model using convolutional neural networks (CNNs) and enforce consistency of the model's predictions over perturbations applied to the inputs or model. Howeve
Externí odkaz:
http://arxiv.org/abs/2209.02178
Autor:
Mao, Yuhao, Fu, Chong, Wang, Saizhuo, Ji, Shouling, Zhang, Xuhong, Liu, Zhenguang, Zhou, Jun, Liu, Alex X., Beyah, Raheem, Wang, Ting
One intriguing property of adversarial attacks is their "transferability" -- an adversarial example crafted with respect to one deep neural network (DNN) model is often found effective against other DNNs as well. Intensive research has been conducted
Externí odkaz:
http://arxiv.org/abs/2204.04063
Autor:
Wu, Yun-Long, Jiao, Chang-Kun, Wang, Feng-Feng, Tang, Peng-Fei, Yan, Yang-Tian, Song, Yan-Yan, Fu, Chong, He, Xin-Hai, Yang, Guo-Ping, Wang, Yaoyu
Publikováno v:
In Journal of Molecular Structure 15 November 2024 1316
