Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching	Shitong Shao, Zeyuan Yin, Muxin Zhou	2023	arxiv 2311.17950
Self-Supervised Training Enhances Online Continual Learning	Jhair Gallardo, Tyler L. Hayes, Christopher Kanan	2021	arxiv 2103.14010
Discovering and Mitigating Visual Biases through Keyword Explanation	Younghyun Kim, Sangwoo Mo, Minkyu Kim	2023	arxiv 2301.11104
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers	Ka Man Lo, Yiming Liang, Wenyu Du	2024	arxiv 2402.16918
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate	Anthony Fuller, Daniel G. Kyrollos, Yousef Yassin	2024	arxiv 2405.13985
Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness	Liangliang Cao, Bowen Zhang, Chen Chen	2023	arxiv 2305.05095
UniForm: A Reuse Attention Mechanism Optimized for Efficient Vision Transformers on Edge Devices	Seul-Ki Yeom, Tae-Ho Kim	2024	arxiv 2412.02344
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images	Zhuoran Yu, Chenchen Zhu, Sean Culatana	2023	arxiv 2312.02253
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders	Sanghyun Woo, Shoubhik Debnath, Ronghang Hu	2023	arxiv 2301.00808
Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer	Jonathan C Balloch, Varun Agrawal, Irfan Essa	2018	arxiv 1809.03676
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification	Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar	2024	arxiv 2405.15047
Pre-training Vision Transformers with Very Limited Synthesized Images	Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima	2023	arxiv 2307.14710
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers	Xiaoyi Dong, Jianmin Bao, Ting Zhang	2021	arxiv 2111.12710
MobileOne: An Improved One millisecond Mobile Backbone	Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu	2022	arxiv 2206.04040
Adaptive Camera Sensor for Vision Models	Eunsu Baek, Sunghwan Han, Taesik Gong	2025	arxiv 2503.02170
Curriculum Dataset Distillation	Zhiheng Ma, Anjia Cao, Funing Yang	2024	arxiv 2405.09150
DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models	Qichao Wang, Yunhong Lu, Hengyuan Cao	2026	arxiv 2605.03877
Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures	Edward Vendrow, Ethan Schonfeld	2022	arxiv 2205.02841
Rethinking Pre-training and Self-training	Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin	2020	arxiv 2006.06882
HistoTransfer: Understanding Transfer Learning for Histopathology	Yash Sharma, Lubaina Ehsan, Sana Syed	2021	arxiv 2106.07068

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