Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Improving the Speed and Quality of GAN by Adversarial Training	Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh	2020	arxiv 2008.03364
Automated Synthetic-to-Real Generalization	Wuyang Chen, Zhiding Yu, Zhangyang Wang	2020	arxiv 2007.06965
Picking Winning Tickets Before Training by Preserving Gradient Flow	Chaoqi Wang, Guodong Zhang, Roger Grosse	2020	arxiv 2002.07376
Measuring Robustness to Natural Distribution Shifts in Image Classification	Rohan Taori, Achal Dave, Vaishaal Shankar	2020	arxiv 2007.00644
Training data-efficient image transformers & distillation through attention	Hugo Touvron, Matthieu Cord, Matthijs Douze	2020	arxiv 2012.12877
SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation	Yanqi Ge, Ye Huang, Wen Li	2024	arxiv 2401.14686
Foundation Models for Slide-level Cancer Subtyping in Digital Pathology	Pablo Meseguer, Rocío del Amor, Adrian Colomer	2024	arxiv 2410.15886
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation	Chenlin Zhou, Han Zhang, Zhaokun Zhou	2023	arxiv 2305.05954
DreamTeacher: Pretraining Image Backbones with Deep Generative Models	Daiqing Li, Huan Ling, Amlan Kar	2023	arxiv 2307.07487
A Baseline for Few-Shot Image Classification	Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran	2019	arxiv 1909.02729
Going deeper with Image Transformers	Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles	2021	arxiv 2103.17239
Scalable domain adaptation of convolutional neural networks	Adrian Popescu, Etienne Gadeski, Hervé Le Borgne	2015	arxiv 1512.02013
Exploring the Limits of Weakly Supervised Pretraining	Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan	2018	arxiv 1805.00932
ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification	Miko\laj Janusz, Adam Wróbel, Bartosz Zieliński	2026	arxiv 2602.06592
Effective and Efficient Masked Image Generation Models	Zebin You, Jingyang Ou, Xiaolu Zhang	2025	arxiv 2503.07197
NSVQ: Mitigating Codebook Collapse by Stabilizing Encoder Drift in Vector Quantization	Hao Lu, Yongxin Guo, Onur Koyun	2026	arxiv 2606.11363
Deep Nearest Neighbor Anomaly Detection	Liron Bergman, Niv Cohen, Yedid Hoshen	2020	arxiv 2002.10445
Temporal-adaptive Weight Quantization for Spiking Neural Networks	Han Zhang, Qingyan Meng, Jiaqi Wang	2025	arxiv 2511.17567
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training	Jean Lahoud, Bernard Ghanem	2020	arxiv 2002.02200
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization	Bowen Yuan, Yuxia Fu, Zijian Wang	2025	arxiv 2503.13935

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