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Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images.

, , , и . AMAI@MICCAI, том 13540 из Lecture Notes in Computer Science, стр. 108-117. Springer, (2022)

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Rahim Kasray

Rahim Pourabdolrahim

Rahim Pakzad

Haidar Rahimi

Rahim Rahimzadeh-Oskui

 

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A mafia and distance fraud high-resistance RFID distance bounding protocol., , и . ISCISC, стр. 67-72. IEEE, (2014)The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks., , , и . ICLR, OpenReview.net, (2022)The Role of Pre-training Data in Transfer Learning., , , , , и . CoRR, (2023)Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images., , , и . AMAI@MICCAI, том 13540 из Lecture Notes in Computer Science, стр. 108-117. Springer, (2022)Studying the impact of magnitude pruning on contrastive learning methods., , , , и . CoRR, (2022)PhD Forum Abstract: Understanding Deep Model Compression for IoT Devices.. IPSN, стр. 385-386. IEEE, (2020)AVID: Adversarial Visual Irregularity Detection., , , , , , и . ACCV (6), том 11366 из Lecture Notes in Computer Science, стр. 488-505. Springer, (2018)RFID unilateral distance bounding protocols: A trade-off between mafia and distance fraud., , и . Comput. Commun., (2017)Scaling Rectified Flow Transformers for High-Resolution Image Synthesis., , , , , , , , , и 7 other автор(ы). CoRR, (2024)To Share or Not to Share: On Location Privacy in IoT Sensor Data., , , и . IoTDI, стр. 128-140. IEEE, (2022)