Research

Papers for “image classification”

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

Title	Authors	Year	Source
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer	Shoukun Sun, Min Xian, Aleksandar Vakanski	2022	arxiv 2205.01674
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data	Praneeth Nemani, Satyanarayana Vollala	2022	arxiv 2209.07515
Entroformer: A Transformer-based Entropy Model for Learned Image Compression	Yichen Qian, Ming Lin, Xiuyu Sun	2022	arxiv 2202.05492
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models	Jonathan Roberts, Kai Han, Samuel Albanie	2023	arxiv 2304.11619
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation	Koichi Kuriyama	2023	arxiv 2305.02668
Forward-Forward Contrastive Learning	Md. Atik Ahamed, Jin Chen, Abdullah-Al-Zubaer Imran	2023	arxiv 2305.02927
Federated Variational Inference: Towards Improved Personalization and Generalization	Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield	2023	arxiv 2305.13672
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images	Yanru Chen, Michael T Lu, Vineet K Raghu	2023	arxiv 2306.08955
Countering Adversarial Images using Input Transformations	Chuan Guo, Mayank Rana, Moustapha Cisse	2017	arxiv 1711.00117
A Method for Restoring the Training Set Distribution in an Image Classifier	Alexey Chaplygin, Joshua Chacksfield	2018	arxiv 1802.01435
Hierarchical Representations for Efficient Architecture Search	Hanxiao Liu, Karen Simonyan, Oriol Vinyals	2017	arxiv 1711.00436
Adversarially Robust Generalization Requires More Data	Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras	2018	arxiv 1804.11285
Composite Binary Decomposition Networks	You Qiaoben, Zheng Wang, Jianguo Li	2018	arxiv 1811.06668
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition	Aravind Ravi	2018	arxiv 1812.06387
Deep CNN-based Multi-task Learning for Open-Set Recognition	Poojan Oza, Vishal M. Patel	2019	arxiv 1903.03161
Augmenting Data with Mixup for Sentence Classification: An Empirical Study	Hongyu Guo, Yongyi Mao, Richong Zhang	2019	arxiv 1905.08941
Gradient Weighted Superpixels for Interpretability in CNNs	Thomas Hartley, Kirill Sidorov, Christopher Willis	2019	arxiv 1908.08997
Density estimation in representation space to predict model uncertainty	Tiago Ramalho, Miguel Miranda	2019	arxiv 1908.07235
Information Competing Process for Learning Diversified Representations	Jie Hu, Rongrong Ji, ShengChuan Zhang	2019	arxiv 1906.01288
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation	Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta	2018	arxiv 1812.02937

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