WebOct 23, 2005 · Moving vehicles are detected and tracked automatically in monocular image sequences from road traffic scenes recorded by a stationary camera. In order to exploit … WebIn Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. 2836 – 2845. Google Scholar [13] Dong Wenkai, Zhang Zhaoxiang, Song Chunfeng, and Tan Tieniu. 2024. Instance guided proposal network for person search. In Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. 2582 – 2591. Google Scholar
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WebLightweight models are pivotal in efficient semantic segmentation, but they often suffer from insufficient context information due to limited convolution and small receptive field. To address this problem, we propose a tailored approach to efficient ... WebJan 1, 2024 · Weakly supervised anomaly detection is a challenging task since frame-level labels are not given in the training phase. Previous studies generally employ neural networks to learn features and produce frame-level predictions and then use multiple instance learning (MIL)-based classification loss to ensure the interclass separability of … ihis business analyst
Scene Text Recognition using Higher Order Language Priors
Web6. D. Scherer A. Müller and S. Behnke "Evaluation of pooling operations in convolutional architectures for object recognition" Proc. Int. Conf. Artif. Neural Netw. pp. 92-101 2010. … Web6. J. Žbontar and Y. Lecun "Computing the stereo matching cost with a convolutional neural network" Proc. Comput. Vis. Pattern Recognit. pp. 1592-1599 2015. 7. W. Luo A. G. … ihis background