Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study

31 May 2024

Papers citing "Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study"

5 / 5 papers shown

Title
Layer Pruning with Consensus: A Triple-Win Solution Leandro Giusti Mugnaini Carolina Tavares Duarte Anna H. Reali Costa Artur Jordao 66 0 0 21 Nov 2024
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification Babak Rokh A. Azarpeyvand Alireza Khanteymoori MQ 30 82 0 14 May 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 873 0 21 Oct 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration Y. Sun Wenjun Xiong F. Liang 40 8 0 01 Oct 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 669 0 24 Jan 2021