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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 7: AAAI-21 Technical Tracks 7

DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation

February 1, 2023

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Authors

Dongfang Liu

Purdue University


Yiming Cui

University of Florida


Liqi Yan

Fudan University


Christos Mousas

Purdue University


Baijian Yang

Purdue University


Yingjie Chen

Purdue University


DOI:

10.1609/aaai.v35i7.16760


Abstract:

In this work, we introduce a Denser Feature Network(DenserNet) for visual localization. Our work provides three principal contributions. First, we develop a convolutional neural network (CNN) architecture which aggregates feature maps at different semantic levels for image representations. Using denser feature maps, our method can produce more key point features and increase image retrieval accuracy. Second, our model is trained end-to-end without pixel-level an-notation other than positive and negative GPS-tagged image pairs. We use a weakly supervised triplet ranking loss to learn discriminative features and encourage keypoint feature repeatability for image representation. Finally, our method is computationally efficient as our architecture has shared features and parameters during forwarding propagation. Our method is flexible and can be crafted on a light-weighted backbone architecture to achieve appealing efficiency with a small penalty on accuracy. Extensive experiment results indicate that our method sets a new state-of-the-art on four challenging large-scale localization benchmarks and three image retrieval benchmarks with the same level of supervision. The code is available at https://github.com/goodproj13/DenserNet

Topics: AAAI

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HOW TO CITE:

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation Proceedings of the AAAI Conference on Artificial Intelligence (2021) 6101-6109.

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation AAAI 2021, 6101-6109.

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen (2021). DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation. Proceedings of the AAAI Conference on Artificial Intelligence, 6101-6109.

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen. DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.6101-6109.

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen. 2021. DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation. "Proceedings of the AAAI Conference on Artificial Intelligence". 6101-6109.

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen. (2021) "DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation", Proceedings of the AAAI Conference on Artificial Intelligence, p.6101-6109

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen, "DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation", AAAI, p.6101-6109, 2021.

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen. "DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.6101-6109.

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen. "DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 6101-6109.

Dongfang Liu||Yiming Cui||Liqi Yan||Christos Mousas||Baijian Yang||Yingjie Chen. DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation. AAAI[Internet]. 2021[cited 2023]; 6101-6109.


ISSN: 2374-3468


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