# MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification Source: [MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification]() Collection index: [llms.txt]() Data updated: 2025-10-25T21:31:37.819Z Authors: Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao Published: 2018-04-11T08:17:14.000Z ## Abstract Person retrieval faces many challenges including cluttered background, appearance variations (e.g., illumination, pose, occlusion) among different camera views and the similarity among different person's images. To address these issues, we put forward a novel mask based deep ranking neural network with a skipped fusing layer. Firstly, to alleviate the problem of cluttered background, masked images with only the foreground regions are incorporated as input in the proposed neural network. Secondly, to reduce the impact of the appearance variations, the multi-layer fusion scheme is developed to obtain more discriminative fine-grained information. Lastly, considering person retrieval is a special image retrieval task, we propose a novel ranking loss to optimize the whole network. The proposed ranking loss can further mitigate the interference problem of similar negative samples when producing ranking results. The extensive experiments validate the superiority of the proposed method compared with the state-of-the-art methods on many benchmark datasets. ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. - [Person Re-identification on Market-1501 holistic (test)](): Person Re-Identification; Market-1501 holistic (test); Rank-1: 90. - [Person Re-identification on DukeMTMC-reID](): Person Re-Identification; DukeMTMC-reID; Rank-1 Acc: 78.86. - [Person Re-identification on Duke MTMC-reID (test)](): Person Re-Identification; Duke MTMC-reID (test); Rank-1: 78.8. - [Person Re-identification on Market1501 (test)](): Person Re-Identification; Market1501 (test); Rank-1 Accuracy: 90.4. - [Person Re-identification on Market 1501](): Person Re-Identification; Market 1501; mAP: 75.3. ## Original sources and implementation [Original paper]() [PDF]()