Research

Papers for “imagenet”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Channel Scaling: A Scale-and-Select Approach for Transfer Learning	Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi	2021	arxiv 2103.12228
DNN Quantization with Attention	Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich	2021	arxiv 2103.13322
Semi-Supervised Learning with Meta-Gradient	Xin-Yu Zhang, Taihong Xiao, Haolin Jia	2020	arxiv 2007.03966
DrNAS: Dirichlet Neural Architecture Search	Xiangning Chen, Ruochen Wang, Minhao Cheng	2020	arxiv 2006.10355
Improving robustness against common corruptions with frequency biased models	Tonmoy Saikia, Cordelia Schmid, Thomas Brox	2021	arxiv 2103.16241
How Well Do Self-Supervised Models Transfer?	Linus Ericsson, Henry Gouk, Timothy M. Hospedales	2020	arxiv 2011.13377
FocusedDropout for Convolutional Neural Network	Tianshu Xie, Minghui Liu, Jiali Deng	2021	arxiv 2103.15425
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon	2021	arxiv 2104.04015
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance	An Zhang, Xiang Wang, Chengfang Fang	2021	arxiv 2104.05527
SEED: Self-supervised Distillation For Visual Representation	Zhiyuan Fang, Jianfeng Wang, Lijuan Wang	2021	arxiv 2101.04731
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation	Ruizhe Cheng, Bichen Wu, Peizhao Zhang	2021	arxiv 2104.08945
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations	Yongqiang Tian, Shiqing Ma, Ming Wen	2019	arxiv 1909.03824
EventDrop: data augmentation for event-based learning	Fuqiang Gu, Weicong Sng, Xuke Hu	2021	arxiv 2106.05836
Reachability Analysis of Convolutional Neural Networks	Xiaodong Yang, Tomoya Yamaguchi, Hoang-Dung Tran	2021	arxiv 2106.12074
Improvements to context based self-supervised learning	T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen	2017	arxiv 1711.06379
Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy	Xinyi Yu, Xiaowei Wang, Jintao Rong	2022	arxiv 2204.06403
Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling	Dan Wang, Jiayu Lin, Yuan-Gen Wang	2022	arxiv 2207.02391
Semi-Supervised Vision Transformers	Zejia Weng, Xitong Yang, Ang Li	2021	arxiv 2111.11067
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks	Chien-Yu Lin, Anish Prabhu, Thomas Merth	2022	arxiv 2207.10237
Efficient CNN Architecture Design Guided by Visualization	Liangqi Zhang, Haibo Shen, Yihao Luo	2022	arxiv 2207.10318

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