Ceasefire Hierarchical Weapon Dataset

Author:

Malon Thierry1ORCID,Chambon Sylvie1ORCID,Crouzil Alain1ORCID,Lechelek Loubna1ORCID,Jalabert Grégory2ORCID,Brocard Christian2ORCID,Bernardeau Nadia2ORCID,Abadie Laurence2ORCID,Sera Bruno2ORCID,Hartmann Thierry3ORCID,Bras Marjorie Le4ORCID

Affiliation:

1. Institut de Recherche en Informatique de Toulouse (IRIT), Toulouse, France

2. Service National de Police Scientifique (SNPS) -Laboratoire de Police Scientifique de Toulouse (LPS 31) Toulouse, France

3. Direction de la Coopération Internationale de Sécurité, Nanterre, France

4. Direction Nationale de la Police Judiciaire, Nanterre, France

Publisher

ACM

Reference9 articles.

1. A. N. Arslan C. F. Hempelmann S. Attardo G. P. Blount and N. M. Sirakov. 2015. Threat assessment using visual hierarchy and conceptual firearms ontology. Optical engineering 54 5 (2015) 053109--053109.

2. Weapon Detection in Real-Time CCTV Videos Using Deep Learning

3. P.-Y. Chou, Y.-Y. Kao, and C.-H. Lin. 2023. Fine-grained Visual Classification with High-temperature Refinement and Background Suppression. CoRR (arXiv) 2303.06442 (2023).

4. J. Hao, J. Dong, W. Wang, and T. Tan. 2018. DeepFirearm: Learning discriminative feature representation for fine-grained firearm retrieval. In IEEE International Conference on Pattern Recognition. 3335--3340.

5. Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo. 2021. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. In IEEE International Conference on Computer Vision. 9992--10002.

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