SOTA2 Research · papers

Papers for “image classification”

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

Search results

20 indexed

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

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