Search Results for author: Longhui Wei

Found 19 papers, 9 papers with code

Revisiting Catastrophic Forgetting in Class Incremental Learning

no code implementations26 Jul 2021 Zixuan Ni, Haizhou Shi, Siliang Tang, Longhui Wei, Qi Tian, Yueting Zhuang

After investigating existing strategies, we observe that there is a lack of study on how to prevent the inter-phase confusion.

class-incremental learning Contrastive Learning +2

Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task

no code implementations1 Jun 2021 Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian

By simply pulling the different augmented views of each image together or other novel mechanisms, they can learn much unsupervised knowledge and significantly improve the transfer performance of pre-training models.

Self-Supervised Learning

Visformer: The Vision-friendly Transformer

3 code implementations ICCV 2021 Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian

The past year has witnessed the rapid development of applying the Transformer module to vision problems.

Image Classification

UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification

1 code implementation CVPR 2021 Tianyu Zhang, Lingxi Xie, Longhui Wei, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian

The main difficulty of person re-identification (ReID) lies in collecting annotated data and transferring the model across different domains.

Domain Adaptation Image Generation +1

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

no code implementations19 Nov 2020 Xinyue Huo, Lingxi Xie, Longhui Wei, Xiaopeng Zhang, Hao Li, Zijie Yang, Wengang Zhou, Houqiang Li, Qi Tian

Contrastive learning has achieved great success in self-supervised visual representation learning, but existing approaches mostly ignored spatial information which is often crucial for visual representation.

Contrastive Learning Data Augmentation +1

GOLD-NAS: Gradual, One-Level, Differentiable

1 code implementation7 Jul 2020 Kaifeng Bi, Lingxi Xie, Xin Chen, Longhui Wei, Qi Tian

There has been a large literature of neural architecture search, but most existing work made use of heuristic rules that largely constrained the search flexibility.

Image Classification Neural Architecture Search

Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks

no code implementations17 Apr 2020 Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, Qi Tian

We alleviate this issue by training a graph convolutional network to fit the performance of sampled sub-networks so that the impact of random errors becomes minimal.

Graph Convolutional Network Neural Architecture Search

Circumventing Outliers of AutoAugment with Knowledge Distillation

no code implementations ECCV 2020 Longhui Wei, An Xiao, Lingxi Xie, Xin Chen, Xiaopeng Zhang, Qi Tian

AutoAugment has been a powerful algorithm that improves the accuracy of many vision tasks, yet it is sensitive to the operator space as well as hyper-parameters, and an improper setting may degenerate network optimization.

Data Augmentation General Classification +1

Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters

1 code implementation25 Oct 2019 Kaifeng Bi, Changping Hu, Lingxi Xie, Xin Chen, Longhui Wei, Qi Tian

Our approach bridges the gap from two aspects, namely, amending the estimation on the architectural gradients, and unifying the hyper-parameter settings in the search and re-training stages.

Neural Architecture Search

Single Camera Training for Person Re-identification

1 code implementation24 Sep 2019 Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian

Differently, this paper investigates ReID in an unexplored single-camera-training (SCT) setting, where each person in the training set appears in only one camera.

Metric Learning Person Re-Identification

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

16 code implementations CVPR 2018 Longhui Wei, Shiliang Zhang, Wen Gao, Qi Tian

Although the performance of person Re-Identification (ReID) has been significantly boosted, many challenging issues in real scenarios have not been fully investigated, e. g., the complex scenes and lighting variations, viewpoint and pose changes, and the large number of identities in a camera network.

Person Re-Identification Unsupervised Domain Adaptation

GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval

no code implementations13 Sep 2017 Longhui Wei, Shiliang Zhang, Hantao Yao, Wen Gao, Qi Tian

Targeting to solve these problems, this work proposes a Global-Local-Alignment Descriptor (GLAD) and an efficient indexing and retrieval framework, respectively.

Person Re-Identification Representation Learning

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