Fetching the paper…
Reading the bibliography…
We study the problem of unsupervised domain adaptive re-identification (re-ID) which is an active topic in computer vision but lacks a theoretical foundation.
Things and persons
Alvin Plantinga · 1961
Earlier work this paper cites.
A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu · 1996
Earlier work this paper cites.
Vehicle re-identification and travel time measurement in real-time on freeways using existing loop detector infrastructure
Benjamin Coifman · 1998
Earlier work this paper cites.
Unsupervised language model adaptation
Michiel Bacchiani and Brian Roark · 2003
Earlier work this paper cites.
Effective self-training for parsing
David McClosky, Eugene Charniak, and Mark Johnson · 2006
Earlier work this paper cites.
Reranking and self-training for parser adaptation
David McClosky, Eugene Charniak, and Mark Johnson · 2006
Earlier work this paper cites.
Semi-supervised text classification using em
Kamal Nigam, Andrew McCallum, and Tom Mitchell · 2006
Earlier work this paper cites.
Clustering by passing messages between data points
Brendan J Frey and Delbert Dueck · 2007
Earlier work this paper cites.
A contextual dissimilarity measure for accurate and efficient image search
H. Jegou, H. Harzallah, and C. Schmid · 2007
Earlier work this paper cites.
Domain adaptation of conditional probability models via feature subsetting
Sandeepkumar Satpal and Sunita Sarawagi · 2007
Earlier work this paper cites.
Transfer learning via dimensionality reduction
Sinno Jialin Pan, James T Kwok, and Qiang Yang · 2008
Earlier work this paper cites.
Extracting discriminative concepts for domain adaptation in text mining
Bo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong · 2009
Earlier work this paper cites.
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour, Mehryar Mohri, and Afshin Rostamizadeh · 2009
Cited alongside, same era.
Adapting naive bayes to domain adaptation for sentiment analysis
Songbo Tan, Xueqi Cheng, Yuefen Wang, and Hongbo Xu · 2009
Cited alongside, same era.
Distance Metric Learning for Large Margin Nearest Neighbor Classification
Kilian Q. Weinberger and Lawrence K. Saul · 2009
Cited alongside, same era.
A theory of learning from different domains
Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan · 2010
Cited alongside, same era.
A literature review of domain adaptation with unlabeled data
Anna Margolis · 2011
Cited alongside, same era.
Access to unlabeled data can speed up prediction time
Ruth Urner, Shai Ben-David, and Shai Shalev-Shwartz · 2011
Cited alongside, same era.
Large-scale vehicle re-identification in urban surveillance videos
X. Liu, W. Liu, H. Ma, and H. Fu · 2016
Later among the works it cites.
Unsupervised cross-dataset transfer learning for person re-identification
Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, and Yonghong Tian · 2016
Later among the works it cites.
Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 2016
Later among the works it cites.
Person Re-identification: Past, Present and Future
Liang Zheng, Yi Yang, and Alexander G. Hauptmann · 2016
Later among the works it cites.
Unsupervised Person Re-identification: Clustering and Fine-tuning
Hehe Fan, Liang Zheng, and Yi Yang · 2017
Later among the works it cites.
Re-ranking person re-identification with k-reciprocal encoding
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Domain adaptation–can quantity compensate for quality?
Shai Ben-David and Ruth Urner · 2014
Cited alongside, same era.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Scalable Person Re-identification: A Benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
Cited alongside, same era.
Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Deep relative distance learning: Tell the difference between similar vehicles
Hongye Liu, Yonghong Tian, Yaowei Wang, Lu Pang, and Tiejun Huang · 2016
Cited alongside, same era.
Zhun Zhong, Liang Zheng, Donglin Cao, and Shaozi Li · 2017
Later among the works it cites.
Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification
Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, and Jianbin Jiao · 2018
Closest in time.
Adaptation and re-identification network: An unsupervised deep transfer learning approach to person re-identification
Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, and Yu-Chiang Frank Wang · 2018
Closest in time.
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
Nam Vo and James Hays · 2018
Closest in time.
Transferable joint attribute-identity deep learning for unsupervised person re-identification
Jingya Wang, Xiatian Zhu, Shaogang Gong, and Wei Li · 2018
Closest in time.
Person transfer gan to bridge domain gap for person re-identification
Longhui Wei, Shiliang Zhang, Wen Gao, and Qi Tian · 2018
Closest in time.