SOTA2 Research · papers

Papers for “imagenet”

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

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20 indexed

Title	Authors	Year	Source
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks	Tao Chen, Damian Borth, Trevor Darrell	2014	arxiv 1410.8586
Unsupervised Learning of Visual Representations using Videos	Xiaolong Wang, Abhinav Gupta	2015	arxiv 1505.00687
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation	Di Xie, Jiang Xiong, Shiliang Pu	2017	arxiv 1703.01827
Aggregated Residual Transformations for Deep Neural Networks	Saining Xie, Ross Girshick, Piotr Dollár	2016	arxiv 1611.05431
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks	Miria Feng, Zachary Frangella, Mert Pilanci	2024	arxiv 2411.01088
Task-Driven Convolutional Recurrent Models of the Visual System	Aran Nayebi, Daniel Bear, Jonas Kubilius	2018	arxiv 1807.00053
Detect to Track and Track to Detect	Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman	2017	arxiv 1710.03958
Image Transformer	Niki Parmar, Ashish Vaswani, Jakob Uszkoreit	2018	arxiv 1802.05751
Group Whitening: Balancing Learning Efficiency and Representational Capacity	Lei Huang, Yi Zhou, Li Liu	2020	arxiv 2009.13333
Learning specialized activation functions with the Piecewise Linear Unit	Yucong Zhou, Zezhou Zhu, Zhao Zhong	2021	arxiv 2104.03693