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In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
Research article (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020) · cited 121× · AI/ML
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
Summary
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation is a scholarly article[1].
Key Facts
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation's instance of is recorded as scholarly article[2].
References
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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). In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. Retrieved May 24, 2026, from https://4ort.xyz/entity/in-defense-of-the-triplet-loss-again-learning-robust-person-re-identification-with-fast-approximated-triplet-loss-and-la
MLA“In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/in-defense-of-the-triplet-loss-again-learning-robust-person-re-identification-with-fast-approximated-triplet-loss-and-la.
BibTeX@misc{4ortxyz_in-defense-of-the-triplet-loss-again-learning-robust-person-re-identification-with-fast-approximated-triplet-loss-and-la_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation}}, year = {2026}, url = {https://4ort.xyz/entity/in-defense-of-the-triplet-loss-again-learning-robust-person-re-identification-with-fast-approximated-triplet-loss-and-la}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation — https://4ort.xyz/entity/in-defense-of-the-triplet-loss-again-learning-robust-person-re-identification-with-fast-approximated-triplet-loss-and-la (retrieved 2026-05-24)
