Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision	Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard	2018	arxiv 1811.12326
Dynamic Channel Pruning: Feature Boosting and Suppression	Xitong Gao, Yiren Zhao, \Lukasz Dudziak	2018	arxiv 1810.05331
UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition	Rosaura G. Vidal, Sreya Banerjee, Klemen Grm	2017	arxiv 1710.02909
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence	Dahyun Kim, Jihwan Bae, Yeonsik Jo	2019	arxiv 1902.00829
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection	Mason Liu, Menglong Zhu, Marie White	2019	arxiv 1903.10172
The LogBarrier adversarial attack: making effective use of decision boundary information	Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman	2019	arxiv 1903.10396
Learning Competitive and Discriminative Reconstructions for Anomaly Detection	Kai Tian, Shuigeng Zhou, Jianping Fan	2019	arxiv 1903.07058
Iterative Normalization: Beyond Standardization towards Efficient Whitening	Lei Huang, Yi Zhou, Fan Zhu	2019	arxiv 1904.03441
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network	Sachin Mehta, Mohammad Rastegari, Linda Shapiro	2018	arxiv 1811.11431
Learning to Learn Image Classifiers with Visual Analogy	Linjun Zhou, Peng Cui, Shiqiang Yang	2017	arxiv 1710.06177
Local Aggregation for Unsupervised Learning of Visual Embeddings	Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins	2019	arxiv 1903.12355
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness	Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara	2017	arxiv 1702.03505
Differentiable Learning-to-Normalize via Switchable Normalization	Ping Luo, Jiamin Ren, Zhanglin Peng	2018	arxiv 1806.10779
Learning low-precision neural networks without Straight-Through Estimator(STE)	Zhi-Gang Liu, Matthew Mattina	2019	arxiv 1903.01061
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks	Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi	2019	arxiv 1905.10452
Super Interaction Neural Network	Yang Yao, Xu Zhang, Baile Xu	2019	arxiv 1905.12349
Bandlimiting Neural Networks Against Adversarial Attacks	Yuping Lin, Kasra Ahmadi K. A., Hui Jiang	2019	arxiv 1905.12797
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1	Qigong Sun, Fanhua Shang, Kang Yang	2019	arxiv 1905.13389
BayesNAS: A Bayesian Approach for Neural Architecture Search	Hongpeng Zhou, Minghao Yang, Jun Wang	2019	arxiv 1905.04919
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models	Linfeng Zhang, Zhanhong Tan, Jiebo Song	2019	arxiv 1906.03951

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