Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters
Summary
Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters is a scholarly article[1].
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Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-visual-tracking-based-on-deep-convolutional-neural-networks-and-kernelized-correlation-filters
MLA“Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-visual-tracking-based-on-deep-convolutional-neural-networks-and-kernelized-correlation-filters.
BibTeX@misc{4ortxyz_robust-visual-tracking-based-on-deep-convolutional-neural-networks-and-kernelized-correlation-filters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters}}, year = {2026}, url = {https://4ort.xyz/entity/robust-visual-tracking-based-on-deep-convolutional-neural-networks-and-kernelized-correlation-filters}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters — https://4ort.xyz/entity/robust-visual-tracking-based-on-deep-convolutional-neural-networks-and-kernelized-correlation-filters (retrieved 2026-05-24)
