{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:34:22Z","timestamp":1763202862340,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10447958","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"51-55","source":"Crossref","is-referenced-by-count":1,"title":["Dicetrack: Lightweight Dice Classification on Resource-Constrained Platforms with Optimized Deep Learning Models"],"prefix":"10.1109","author":[{"given":"Christophe","family":"El Zeinaty","sequence":"first","affiliation":[{"name":"Univ. Rennes,INSA Rennes, CNRS, IETR - UMR 6164,Rennes,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Glenn","family":"Herrou","sequence":"additional","affiliation":[{"name":"Wizama, Parc d’activité de Beaujardin,Châteaugiron,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wassim","family":"Hamidouche","sequence":"additional","affiliation":[{"name":"Univ. Rennes,INSA Rennes, CNRS, IETR - UMR 6164,Rennes,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Menard","sequence":"additional","affiliation":[{"name":"Univ. Rennes,INSA Rennes, CNRS, IETR - UMR 6164,Rennes,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-020-03600-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s20092638"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3517207.3526978"},{"issue":"4","key":"ref6","doi-asserted-by":"crossref","DOI":"10.1145\/3342555","article-title":"Huffman coding","volume":"52","author":"Moffat","year":"2019","journal-title":"ACM Comput. Surv."},{"key":"ref7","article-title":"A white paper on neural network quantization","volume":"abs\/2106.08295","author":"Nagel","year":"2021","journal-title":"CoRR"},{"key":"ref8","article-title":"Optimal brain damage","volume-title":"Advances in Neural Information Processing Systems","volume":"2","author":"LeCun","year":"1989"},{"key":"ref9","first-page":"1","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2014"},{"article-title":"Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding","volume-title":"4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings","author":"Han","key":"ref10"},{"key":"ref11","article-title":"Binarynet: Training deep neural networks with weights and activations constrained to +1 or -1","volume":"abs\/1602.02830","author":"Courbariaux","year":"2016","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref13","article-title":"Mcunet: Tiny deep learning on iot devices","volume":"abs\/2007.10319","author":"Lin","year":"2020","journal-title":"CoRR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00277"},{"key":"ref16","article-title":"Quantization and training of neural networks for efficient integer-arithmetic-only inference","volume":"abs\/1712.05877","author":"Jacob","year":"2017","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1511.08458"},{"key":"ref18","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","volume":"abs\/1308.3432","author":"Bengio","year":"2013","journal-title":"CoRR"},{"key":"ref19","article-title":"Label Studio: Data labeling software","volume-title":"Open source software","author":"Tkachenko","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.21105\/joss.01746"},{"key":"ref21","article-title":"Larq compute engine: Design, benchmark, and deploy state-of-the-art binarized neural networks","volume":"abs\/2011.09398","author":"Bannink","year":"2020","journal-title":"CoRR"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2024,4,14]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10447958.pdf?arnumber=10447958","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T04:50:02Z","timestamp":1722574202000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10447958\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10447958","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}