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08/21/2023
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive person re-identification (Re-ID) methods al...
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08/21/2023
Dataset Quantization
State-of-the-art deep neural networks are trained with large amounts (mi...
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05/26/2023
Summarizing Stream Data for Memory-Restricted Online Continual Learning
Replay-based methods have proved their effectiveness on online continual...
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03/08/2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Data pruning aims to obtain lossless performances as training on the ori...
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03/08/2023
DiM: Distilling Dataset into Generative Model
Dataset distillation reduces the network training cost by synthesizing s...
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02/28/2023
DREAM: Efficient Dataset Distillation by Representative Matching
Dataset distillation aims to generate small datasets with little informa...
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07/12/2022
Dynamic Gradient Reactivation for Backward Compatible Person Re-identification
We study the backward compatible problem for person re-identification (R...
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05/20/2021
An Empirical Study of Vehicle Re-Identification on the AI City Challenge
This paper introduces our solution for the Track2 in AI City Challenge 2...
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12/25/2020
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification
This paper presents our proposed methods for domain adaptive pedestrian ...
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06/19/2019
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
This study explores a simple but strong baseline for person re-identific...
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05/22/2019
