Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Facial Image Feature Analysis and its Specialization for Fr\'echet Distance and Neighborhoods	Doruk Cetin, Benedikt Schesch, Petar Stamenkovic	2024	arxiv 2406.18430
Grounding inductive biases in natural images:invariance stems from variations in data	Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos	2021	arxiv 2106.05121
SimMIM: A Simple Framework for Masked Image Modeling	Zhenda Xie, Zheng Zhang, Yue Cao	2021	arxiv 2111.09886
A New Perspective to Boost Vision Transformer for Medical Image Classification	Yuexiang Li, Yawen Huang, Nanjun He	2023	arxiv 2301.00989
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks	Aleksandr Dekhovich, David M.J. Tax, Marcel H.F. Sluiter	2022	arxiv 2208.04952
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others	Zhiheng Li, Ivan Evtimov, Albert Gordo	2022	arxiv 2212.04825
Class-Incremental Exemplar Compression for Class-Incremental Learning	Zilin Luo, Yaoyao Liu, Bernt Schiele	2023	arxiv 2303.14042
Adversarial AutoAugment	Xinyu Zhang, Qiang Wang, Jian Zhang	2019	arxiv 1912.11188
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution	Ananya Kumar, Aditi Raghunathan, Robbie Jones	2022	arxiv 2202.10054
Rethinking Pretraining as a Bridge from ANNs to SNNs	Yihan Lin, Yifan Hu, Shijie Ma	2022	arxiv 2203.01158
MaxViT: Multi-Axis Vision Transformer	Zhengzhong Tu, Hossein Talebi, Han Zhang	2022	arxiv 2204.01697
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations	Anuja Vats, David Völgyes, Martijn Vermeer	2023	arxiv 2311.01188
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy	Edward Sanderson, Bogdan J. Matuszewski	2024	arxiv 2401.06278
CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models	Zheyuan Hu, Chieh-Hsin Lai, Yuki Mitsufuji	2025	arxiv 2509.24526
Selfie: Self-supervised Pretraining for Image Embedding	Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le	2019	arxiv 1906.02940
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications	Karin Stacke, Jonas Unger, Claes Lundström	2021	arxiv 2112.05760
Generating Images with 3D Annotations Using Diffusion Models	Wufei Ma, Qihao Liu, Jiahao Wang	2023	arxiv 2306.08103
Matryoshka Representation Learning	Aditya Kusupati, Gantavya Bhatt, Aniket Rege	2022	arxiv 2205.13147
Beyond neural scaling laws: beating power law scaling via data pruning	Ben Sorscher, Robert Geirhos, Shashank Shekhar	2022	arxiv 2206.14486
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images	Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang	2023	arxiv 2309.11318

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