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Recent approaches in General Object Tracking

Aug 19, 2019 · București, Romania

The presentation will cover recent classes of methods in General Object Tracking: Common Neural Nets, Correlation Filters and Siamese Trackers. We will focus on three main papers:
- One with an older solution coming back in the spotlight with the new and larger training datasets
- Two having current state-of-the-art on all benchmarks (older and newer)

1. "MDNet: Learning Multi-Domain Convolutional Neural Networks for Visual Tracking, H. Nam, B. Han, CVPR'16, http://cvlab.postech.ac.kr/research/mdnet/
2. "ATOM: Accurate Tracking by Overlap Maximization", M. Danelljan et al.
, CVPR'19, https://github.com/visionml/pytracking
3. "SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks", B. Li, CVPR'19, https://bo-li.info/SiamRPN++/

Presentation will be held in Romanian.

Speaker: Elena Burceanu

Location: PR002 - in the new building of the Faculty of Automatic Control and Computers (PRECIS building - Iuliu Maniu entrance), UPB.

Event organizers
  • Bucharest Deep Learning

    This is a group for anyone willing to learn and share ideas and expertise in Machine Learning. The members practice ML inside academia, industry or as a hobby. Our current focus is on Vision (deep learning network architectures), Visual Q&A, NLP and Reinforcement Learning. On medium term, we want to extend our topics to other ML areas such as Unsupervised Learning, Transfer Learning and Memory Networks.  During our meetups, presenters will share state-of-the-art papers and results, will present our own

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