HEART: Towards Effective Hash Codes under Label Noise

Author:

Sun Jinan1,Wang Haixin1,Luo Xiao1,Zhang Shikun1,Xiang Wei2,Chen Chong3,Hua Xian-Sheng4

Affiliation:

1. Peking University, Beijing, China

2. Bigo Ltd, Beijing, Falkand Isl

3. Alibaba Group, Beijing, China

4. Zhejiang University, Hangzhou, China

Publisher

ACM

Reference75 articles.

1. Devansh Arpit , Stanislaw Jastrzebski , Nicolas Ballas , David Krueger , Emmanuel Bengio , Maxinder S Kanwal , Tegan Maharaj , Asja Fischer , Aaron Courville , Yoshua Bengio , 2017 . A closer look at memorization in deep networks . In Proceedings of the International Conference on Machine Learning. 233--242 . Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, et al. 2017. A closer look at memorization in deep networks. In Proceedings of the International Conference on Machine Learning. 233--242.

2. Deep Visual-Semantic Quantization for Efficient Image Retrieval

3. HashNet: Deep Learning to Hash by Continuation

4. Deep Priority Hashing

5. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In Proceedings of the International Conference on Machine Learning. 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In Proceedings of the International Conference on Machine Learning. 1597--1607.

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1. Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing;Proceedings of the ACM Web Conference 2024;2024-05-13

2. Dual Dynamic Proxy Hashing Network for Long-tailed Image Retrieval;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. DANCE: Learning A Domain Adaptive Framework for Deep Hashing;Proceedings of the ACM Web Conference 2023;2023-04-30

5. Graph Representation Learning on Noise and Sparse Labels;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12

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