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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 3: AAAI-21 Technical Tracks 3

MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection

February 1, 2023

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Authors

Guanxiong Sun

Queen's University Belfast AnyVision


Yang Hua

Queen's University Belfast


Guosheng Hu

AnyVision Queen's University Belfast


Neil Robertson

Queen's University Belfast


DOI:

10.1609/aaai.v35i3.16365


Abstract:

State-of-the-art video object detection methods maintain a memory structure, either a sliding window or a memory queue, to enhance the current frame using attention mechanisms. However, we argue that these memory structures are not efficient or sufficient because of two implied operations: (1) concatenating all features in memory for enhancement, leading to a heavy computational cost; (2) frame-wise memory updating, preventing the memory from capturing more temporal information. In this paper, we propose a multi-level aggregation architecture via memory bank called MAMBA. Specifically, our memory bank employs two novel operations to eliminate disadvantages of existing methods: (1) light-weight key-set construction which can significantly reduce the computational cost; (2) fine-grained feature-wise updating strategy which enables our method to utilize knowledge from the whole video. To better enhance features from complementary levels, i.e., feature maps and proposals, we further propose a generalized enhancement operation (GEO) to aggregate multi-level features in a unified manner. We conduct extensive evaluations on the challenging ImageNetVID dataset. Compared with existing state-of-the-art methods, our method achieves superior performance in terms of both speed and accuracy. More remarkably, MAMBA achieves mAP of 83.7%/84.6% at 12.6/9.1 FPS with ResNet-101.

Topics: AAAI

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HOW TO CITE:

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection Proceedings of the AAAI Conference on Artificial Intelligence (2021) 2620-2627.

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection AAAI 2021, 2620-2627.

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson (2021). MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 2620-2627.

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson. MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.2620-2627.

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson. 2021. MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. "Proceedings of the AAAI Conference on Artificial Intelligence". 2620-2627.

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson. (2021) "MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection", Proceedings of the AAAI Conference on Artificial Intelligence, p.2620-2627

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson, "MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection", AAAI, p.2620-2627, 2021.

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson. "MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.2620-2627.

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson. "MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 2620-2627.

Guanxiong Sun||Yang Hua||Guosheng Hu||Neil Robertson. MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. AAAI[Internet]. 2021[cited 2023]; 2620-2627.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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