Revision history of "MULTI-TASKING DEEP LEARNING FOR OBJECT RECOGNITION" (Q3159224)

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9 October 2024

  • curprev 00:0200:02, 9 October 2024DG Regio talk contribs 119,072 bytes −10 Changed label, description and/or aliases in pt
  • curprev 00:0200:02, 9 October 2024DG Regio talk contribs 119,082 bytes −7 Set a claim value: summary (P836): A APRENDIZAGEM APROFUNDADA (a seguir «APRENDIZAGEM APROFUNDADA») tornou-se a EXCELÊNCIA TÉCNICA PAR NO DOMÍNIO DA APRENDIZAGEM AUTOMÁTICA APLICADA À VISÃO COMPUTADORA. Com base no seu sucesso na classificação das imagens, a aprendizagem aprofundada ultrapassou (em termos de desempenho) outras técnicas do mesmo âmbito e é utilizada hoje pela maioria das aplicações em vista por computador, incluindo a deteção de «saliência», a deteção de objetos, o ra...

12 March 2024

20 December 2023

12 June 2023

10 June 2023

18 August 2022

  • curprev 00:2400:24, 18 August 2022DG Regio talk contribs 117,094 bytes +83,272 Changed label, description and/or aliases in el, da, fi, mt, lv, sk, ga, cs, pt, et, hu, bg, lt, hr, sv, ro, sl, pl, nl, fr, de, it, es, and other parts: Adding translations: el, da, fi, mt, lv, sk, ga, cs, pt, et, hu, bg, lt, hr, sv, ro, sl, pl,

16 January 2022

17 December 2021

9 December 2021

4 December 2021

12 October 2021

  • curprev 16:3016:30, 12 October 2021DG Regio talk contribs 15,605 bytes +3,958 Created claim: summary (P836): DEEP LEARNING (‘DEEP LEARNING’) HAS BECOME THE TECHNIQUE PAR EXCELLENCE IN THE FIELD OF AUTOMATIC LEARNING APPLIED TO COMPUTER VISION. BASED ON ITS SUCCESS IN THE CLASSIFICATION OF IMAGES, DEEP LEARNING HAS SURPASSED (IN TERMS OF PERFORMANCE) OTHER TECHNIQUES OF THE SAME SCOPE AND IS BEING USED TODAY BY THE MAJORITY OF APPLICATIONS IN VISION BY COMPUTER, INCLUDING THE DETECTION OF ‘SALIENCY’, THE DETECTION OF OBJECTS, VISUAL TRACKING, IMAGE PROC...
  • curprev 16:3016:30, 12 October 2021DG Regio talk contribs 11,647 bytes −3,958 Removed claim: summary (P836): DEEP LEARNING (‘DEEP LEARNING’) HAS BECOME THE TECHNIQUE PAR EXCELLENCE IN THE FIELD OF AUTOMATIC LEARNING APPLIED TO COMPUTER VISION. BASED ON ITS SUCCESS IN THE CLASSIFICATION OF IMAGES, DEEP LEARNING HAS SURPASSED (IN TERMS OF PERFORMANCE) OTHER TECHNIQUES OF THE SAME SCOPE AND IS BEING USED TODAY BY THE MAJORITY OF APPLICATIONS IN VISION BY COMPUTER, INCLUDING THE DETECTION OF ‘SALIENCY’, THE DETECTION OF OBJECTS, VISUAL TRACKING, IMAGE PR...
  • curprev 16:1716:17, 12 October 2021DG Regio talk contribs 15,605 bytes +109 Changed label, description and/or aliases in en: translated_label
  • curprev 16:1716:17, 12 October 2021DG Regio talk contribs 15,496 bytes +3,958 Created claim: summary (P836): DEEP LEARNING (‘DEEP LEARNING’) HAS BECOME THE TECHNIQUE PAR EXCELLENCE IN THE FIELD OF AUTOMATIC LEARNING APPLIED TO COMPUTER VISION. BASED ON ITS SUCCESS IN THE CLASSIFICATION OF IMAGES, DEEP LEARNING HAS SURPASSED (IN TERMS OF PERFORMANCE) OTHER TECHNIQUES OF THE SAME SCOPE AND IS BEING USED TODAY BY THE MAJORITY OF APPLICATIONS IN VISION BY COMPUTER, INCLUDING THE DETECTION OF ‘SALIENCY’, THE DETECTION OF OBJECTS, VISUAL TRACKING, IMAGE PROC...

10 October 2021

9 October 2021

8 October 2021