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GitHub - hyseob/MDNet: Learning Multi-Domain Convolutional Neura…
https://github.com/hyseob/MDNet
WEBIntroduction. MDNet is the state-of-the-art visual tracker based on a CNN trained on a large set of tracking sequences, and the winner tracker of The VOT2015 …
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MDNet Demystified : Learning Multi-Domain Convolutional Neural
https://medium.com/@r.rohit5557/mdnet-demystified-learning-multi-domain-convolutional-neural-networks-for-visual-tracking-2bb3b7948f61
WEBSep 18, 2020 · Object tracking is one of the integral problems in computer vision, which involves detecting an object or multiple objects over a series of video …
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An Advanced Version of MDNet for Visual Tracking | SpringerLink
https://link.springer.com/chapter/10.1007/978-3-030-36708-4_60
WEBDec 9, 2019 · MDNet [ 21] is a popular CNN-based tracking algorithm with state-of-the-art accuracy on multiple benchmarks [ 14, 28 ]. MDNet follows …
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GitHub - hyseob/PyMDNet: MDNet PyTorch implementation
https://github.com/hyseob/PyMDNet
WEBUpdate (April, 2019) Migration to python 3.6 & pyTorch 1.0. Efficiency improvement (~5fps) ImagNet-VID pretraining. Code refactoring. …
DA: 26 PA: 37 MOZ Rank: 90
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[1808.08834] Real-Time MDNet - arXiv.org
https://arxiv.org/abs/1808.08834
WEBAug 27, 2018 · Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han. We present a fast and accurate visual tracking algorithm based on the multi-domain …
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