Research

Papers for “imagenet”

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

Title	Authors	Year	Source
High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts	Vivian Maloney, Richard F. Obrecht, Vikram Saraph	2023	arxiv 2306.09189
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features	Hengyue Pan, Yixin Chen, Zhiliang Tian	2024	arxiv 2401.15949
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification	Vasilis Siomos, Sergio Naval-Marimont, Jonathan Passerat-Palmbach	2023	arxiv 2311.14625
General Purpose Image Encoder DINOv2 for Medical Image Registration	Xinrui Song, Xuanang Xu, Pingkun Yan	2024	arxiv 2402.15687
Neural network relief: a pruning algorithm based on neural activity	Aleksandr Dekhovich, David M.J. Tax, Marcel H.F. Sluiter	2021	arxiv 2109.10795
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness	Jiequan Cui, Beier Zhu, Xin Wen	2024	arxiv 2402.18133
Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks	Louis Fournier, Edouard Oyallon	2024	arxiv 2403.08837
Masked Vector Quantization	David D. Nguyen, David Leibowitz, Surya Nepal	2023	arxiv 2301.06626
Rethinking the Evaluation Protocol of Domain Generalization	Han Yu, Xingxuan Zhang, Renzhe Xu	2023	arxiv 2305.15253
Image-Conditional Diffusion Transformer for Underwater Image Enhancement	Xingyang Nie, Su Pan, Xiaoyu Zhai	2024	arxiv 2407.05389
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning	Bac Nguyen, Stefan Uhlich, Fabien Cardinaux	2024	arxiv 2407.03036
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations	Maximilian Augustin, Yannic Neuhaus, Matthias Hein	2023	arxiv 2311.17833
TACLE: Task and Class-aware Exemplar-free Semi-supervised Class Incremental Learning	Jayateja Kalla, Rohit Kumar, Soma Biswas	2024	arxiv 2407.08041
HSViT: Horizontally Scalable Vision Transformer	Chenhao Xu, Chang-Tsun Li, Chee Peng Lim	2024	arxiv 2404.05196
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding	Keming Wu, Man Yao, Yuhong Chou	2024	arxiv 2407.20099
Blockwise Self-Supervised Learning at Scale	Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun	2023	arxiv 2302.01647
Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation	Xiaoyue Mi, Fan Tang, Yepeng Weng	2023	arxiv 2311.17607
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation	Yunbei Zhang, Akshay Mehra, Jihun Hamm	2024	arxiv 2407.09498
Adaptive Explicit Knowledge Transfer for Knowledge Distillation	Hyungkeun Park, Jong-Seok Lee	2024	arxiv 2409.01679
Label-Augmented Dataset Distillation	Seoungyoon Kang, Youngsun Lim, Hyunjung Shim	2024	arxiv 2409.16239

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