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Triplet Networks Feature Masking for Sketch-Based Image Retrieval.

, , и . ICIAR, том 10317 из Lecture Notes in Computer Science, стр. 296-303. Springer, (2017)

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Omar Ahmad-Omar

Sanaa Hamdy Omar

Nora Omar Mahmoud

Ahmed Said Omar

Salah Ibrahim Omara Tayel

 

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Transformers and CNNs both Beat Humans on SBIR., , , и . CoRR, (2022)UMONS @ MediaEval 2017: Diverse Social Images Retrieval., , , и . MediaEval, том 1984 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)DeepSketch 2: Deep convolutional neural networks for partial sketch recognition., , и . CBMI, стр. 1-6. IEEE, (2016)Towards Good Practices for Image Retrieval Based on CNN Features., , , и . ICCV Workshops, стр. 1246-1255. IEEE Computer Society, (2017)Triplet Networks Feature Masking for Sketch-Based Image Retrieval., , и . ICIAR, том 10317 из Lecture Notes in Computer Science, стр. 296-303. Springer, (2017)Towards Human Performance on Sketch-Based Image Retrieval., , , и . CBMI, стр. 77-83. ACM, (2022)UMons at MediaEval 2015 Affective Impact of Movies Task including Violent Scenes Detection., , , , , и . MediaEval, том 1436 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation., , , и . CoRR, (2023)DeepSketch: Deep convolutional neural networks for sketch recognition and similarity search., , и . CBMI, стр. 1-6. IEEE, (2015)Developing an Interactive Agent for Blind and Visually Impaired People., , и . IMX, стр. 248-253. ACM, (2023)