SOTA2 Research · papers

Papers for “image classification”

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

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20 indexed

Title	Authors	Year	Source
Inductive Transfer for Neural Architecture Optimization	Martin Wistuba, Tejaswini Pedapati	2019	arxiv 1903.03536
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference	Jungbeom Lee, Eunji Kim, Sungmin Lee	2019	arxiv 1902.10421
Feature Denoising for Improving Adversarial Robustness	Cihang Xie, Yuxin Wu, Laurens van der Maaten	2018	arxiv 1812.03411
Learning Implicitly Recurrent CNNs Through Parameter Sharing	Pedro Savarese, Michael Maire	2019	arxiv 1902.09701
MultiGrain: a unified image embedding for classes and instances	Maxim Berman, Hervé Jégou, Andrea Vedaldi	2019	arxiv 1902.05509
Learning Metrics from Teachers: Compact Networks for Image Embedding	Lu Yu, Vacit Oguz Yazici, Xialei Liu	2019	arxiv 1904.03624
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation	Chenxi Liu, Liang-Chieh Chen, Florian Schroff	2019	arxiv 1901.02985
Learning Discriminative Features Via Weights-biased Softmax Loss	XiaoBin Li, WeiQiang Wang	2019	arxiv 1904.11138
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images	Ivan Krešo, Josip Krapac, Siniša Šegvić	2019	arxiv 1905.05661
Dynamic Neural Network Channel Execution for Efficient Training	Simeon E. Spasov, Pietro Lio	2019	arxiv 1905.06435
Deep Visual City Recognition Visualization

One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers	Matthew Halpern, Behzad Boroujerdian, Todd Mummert	2019	arxiv 1906.11307