Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks	Lili Wang, Ruibo Liu, Soroush Vosoughi	2020	arxiv 2006.11403
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning	Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang	2020	arxiv 2007.08505
A general approach to bridge the reality-gap	Michael Lomnitz, Zigfried Hampel-Arias, Nina Lopatina	2020	arxiv 2009.01865
Holistic Filter Pruning for Efficient Deep Neural Networks	Lukas Enderich, Fabian Timm, Wolfram Burgard	2020	arxiv 2009.08169
Improving robustness against common corruptions by covariate shift adaptation	Steffen Schneider, Evgenia Rusak, Luisa Eck	2020	arxiv 2006.16971
MicroNet: Towards Image Recognition with Extremely Low FLOPs	Yunsheng Li, Yinpeng Chen, Xiyang Dai	2020	arxiv 2011.12289
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries	Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami	2021	arxiv 2102.00029
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators	Sheng Chen, Xu Wang, Chao Chen	2019	arxiv 1906.04979
Self-Distribution Binary Neural Networks	Ping Xue, Yang Lu, Jingfei Chang	2021	arxiv 2103.02394
kDecay: Just adding k-decay items on Learning-Rate Schedule to improve Neural Networks	Tao Zhang, Wei Li	2020	arxiv 2004.05909
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing	Zhili Liu, Jianhua Han, Lanqing Hong	2022	arxiv 2205.13267
Vector-quantized Image Modeling with Improved VQGAN	Jiahui Yu, Xin Li, Jing Yu Koh	2021	arxiv 2110.04627
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification	Zijian Hu, Zhengyu Yang, Xuefeng Hu	2021	arxiv 2103.16725
Spectral Bias in Practice: The Role of Function Frequency in Generalization	Sara Fridovich-Keil, Raphael Gontijo-Lopes, Rebecca Roelofs	2021	arxiv 2110.02424
The Power of Transfer Learning in Agricultural Applications: AgriNet	Zahraa Al Sahili, Mariette Awad	2022	arxiv 2207.03881
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods	Skanda Koppula, Yazhe Li, Evan Shelhamer	2022	arxiv 2209.15589
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation	Shentong Mo, Zhun Sun, Chao Li	2022	arxiv 2210.10194
Meta CLIP 2: A Worldwide Scaling Recipe	Yung-Sung Chuang, Yang Li, Dong Wang	2025	arxiv 2507.22062
Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection	Daniel Frees, Moritz Bolling, Aditri Bhagirath	2025	arxiv 2508.17567
ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging	Eichi Takaya, Ryusei Inamori	2025	arxiv 2508.18613

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