Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims at learning modality-invariant features from unlabeled cross-modality dataset, which is crucial for practical applications in video surveillance systems. The key to essentially address the USL-VI-ReID task is to solve the cross-modality data association problem for further heterogeneous joint learning. To address this issue, we propose a Dual Optimal Transport Label Assignment (DOTLA) framework to simultaneously assign the generated labels from one modality to its counterpart modality. The proposed DOTLA mechanism formulates a mutual reinforcement and efficient solution to cross-modality data association, which could effectively reduce the side-effects of some insufficient and noisy label associations. Besides, we further propose a cross-modality neighbor consistency guided label refinement and regularization module, to eliminate the negative effects brought by the inaccurate supervised signals, under the assumption that the prediction or label distribution of each example should be similar to its nearest neighbors'. Extensive experimental results on the public SYSU-MM01 and RegDB datasets demonstrate the effectiveness of the proposed method, surpassing existing state-of-the-art approach by a large margin of 7.76% mAP on average, which even surpasses some supervised VI-ReID methods.

This study extends the enterprise resource planning (ERP) assimilation research from organizational level to individual level with the argument that it is the individual users who transform ERP systems’ capabilities into organizational performance. We employed a multi-case study method in this exploratory research with the objectives of defining individual level ERP assimilation and identifying key influential factors. Interviews with ERP users at all levels in five organizations revealed four key drivers: influence of supervisors, performance evaluation schemes, intrinsic motivation, and perceived usefulness, as well as two significant moderators: job specifications and individual absorptive capacity. Moreover, evidence suggests a potential relationship between individual level and organizational level ERP assimilations. Our findings highlight the importance of individual level assimilation within a firm in the post-implementation phase and provide managerial insights on how firms could improve ERP assimilation at the individual level that could impact the organizational level assimilation.