Research

Papers for “image classification”

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

Title	Authors	Year	Source
Sampling-Free Learning of Bayesian Quantized Neural Networks	Jiahao Su, Milan Cvitkovic, Furong Huang	2019	arxiv 1912.02992
Regularizing Class-wise Predictions via Self-knowledge Distillation	Sukmin Yun, Jongjin Park, Kimin Lee	2020	arxiv 2003.13964
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation	Nikka Mofid, Jasmine Bayrooti, Shreya Ravi	2020	arxiv 2006.10955
Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet Data	Eric L. Goodman, Chase Zimmerman, Corey Hudson	2020	arxiv 2004.14477
Self-supervised classification of dynamic obstacles using the temporal information provided by videos	Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal	2019	arxiv 1910.09094
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks	Vikash Sehwag, Rajvardhan Oak, Mung Chiang	2020	arxiv 2006.14077
Discretization-Aware Architecture Search	Yunjie Tian, Chang Liu, Lingxi Xie	2020	arxiv 2007.03154
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks	Juan Maroñas, Roberto Paredes, Daniel Ramos	2019	arxiv 1908.08972
Camera Bias in a Fine Grained Classification Task	Philip T. Jackson, Stephen Bonner, Ning Jia	2020	arxiv 2007.08574
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation	Atmadeep Banerjee	2020	arxiv 2008.00247
iCaps: An Interpretable Classifier via Disentangled Capsule Networks	Dahuin Jung, Jonghyun Lee, Jihun Yi	2020	arxiv 2008.08756
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks	Xinyu Liu, Xiaoguang Di	2020	arxiv 2003.09855
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure	Yifan Ding, Nicholas Botzer, Tim Weninger	2020	arxiv 2009.14783
A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise	Mark Collier, Basil Mustafa, Efi Kokiopoulou	2020	arxiv 2003.06778
Boosting Network Weight Separability via Feed-Backward Reconstruction	Jongmin Yu, Hyeontaek Oh	2019	arxiv 1910.09024
On the training dynamics of deep networks with $L_2$ regularization	Aitor Lewkowycz, Guy Gur-Ari	2020	arxiv 2006.08643
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS	Chien-Hsiang Huang, Hung-Yu Wu, Youn-Long Lin	2021	arxiv 2101.07172
A Machine-Synesthetic Approach To DDoS Network Attack Detection	Yuri Monakhov, Oleg Nikitin, Anna Kuznetsova	2019	arxiv 1901.04017
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain	Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita	2019	arxiv 1905.01827
Spectral Metric for Dataset Complexity Assessment	Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin	2019	arxiv 1905.07299

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