Pack and Detect

Author:

Kumar Athindran Ramesh1,Ravindran Balaraman1,Raghunathan Anand2

Affiliation:

1. Indian Institute of Technology Madras

2. Purdue University

Publisher

ACM

Reference46 articles.

1. Jimmy Ba Volodymyr Mnih and Koray Kavukcuoglu. 2014. Multiple object recognition with visual attention. arXiv preprint arXiv:1412.7755 (2014). Jimmy Ba Volodymyr Mnih and Koray Kavukcuoglu. 2014. Multiple object recognition with visual attention. arXiv preprint arXiv:1412.7755 (2014).

2. Emmanuel Bengio Pierre-Luc Bacon Joelle Pineau and Doina Precup. 2015. Conditional Computation in Neural Networks for faster models. CoRR abs/1511.06297 (2015). arXiv:1511.06297 http://arxiv.org/abs/1511.06297 Emmanuel Bengio Pierre-Luc Bacon Joelle Pineau and Doina Precup. 2015. Conditional Computation in Neural Networks for faster models. CoRR abs/1511.06297 (2015). arXiv:1511.06297 http://arxiv.org/abs/1511.06297

3. Detect to Track and Track to Detect

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Oriented R-CNN With Disentangled Representations for Product Packaging Detection;IEEE Photonics Journal;2024-10

2. DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Object Detection in Movies – Case Study;Communications in Computer and Information Science;2024

4. Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing;Real-Time Systems;2023-06

5. DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

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