Unsupervised domain adaptive person re-identification (Re-ID) methods
al...
State-of-the-art deep neural networks are trained with large amounts
(mi...
Replay-based methods have proved their effectiveness on online continual...
Data pruning aims to obtain lossless performances as training on the ori...
Dataset distillation reduces the network training cost by synthesizing s...
Dataset distillation aims to generate small datasets with little informa...
We study the backward compatible problem for person re-identification
(R...
This paper introduces our solution for the Track2 in AI City Challenge 2...
This paper presents our proposed methods for domain adaptive pedestrian
...
This study explores a simple but strong baseline for person re-identific...
For the Small Size League of RoboCup 2018, Team ZJUNLict has won the cha...