Research

Papers for “imagenet”

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

Title	Authors	Year	Source
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers	Zhiliang Peng, Li Dong, Hangbo Bao	2022	arxiv 2208.06366
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints	Yinpeng Dong, Shouwei Ruan, Hang Su	2022	arxiv 2210.03895
Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence Models	Pranjal Bhardwaj, Prajjwal Gupta, Thejineaswar Guhan	2022	arxiv 2210.09449
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs	Daniel Kang, Tatsunori Hashimoto, Ion Stoica	2022	arxiv 2210.08674
Robustifying Deep Vision Models Through Shape Sensitization	Aditay Tripathi, Rishubh Singh, Anirban Chakraborty	2022	arxiv 2211.07277
Beckman Defense	A. V. Subramanyam	2023	arxiv 2301.01495
BIGRoC: Boosting Image Generation via a Robust Classifier	Roy Ganz, Michael Elad	2021	arxiv 2108.03702
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models	Ruiyuan Gao, Chenchen Zhao, Lanqing Hong	2023	arxiv 2308.07687
RevColV2: Exploring Disentangled Representations in Masked Image Modeling	Qi Han, Yuxuan Cai, Xiangyu Zhang	2023	arxiv 2309.01005
Probabilistic Self-supervised Learning via Scoring Rules Minimization	Amirhossein Vahidi, Simon Scho\sser, Lisa Wimmer	2023	arxiv 2309.02048
Certified Robust Models with Slack Control and Large Lipschitz Constants	Max Losch, David Stutz, Bernt Schiele	2023	arxiv 2309.06166
ScaleNet: An Unsupervised Representation Learning Method for Limited Information	Huili Huang, M. Mahdi Roozbahani	2023	arxiv 2310.02386
Investigating the Limitation of CLIP Models: The Worst-Performing Categories	Jie-Jing Shao, Jiang-Xin Shi, Xiao-Wen Yang	2023	arxiv 2310.03324
An Inverse Scaling Law for CLIP Training	Xianhang Li, Zeyu Wang, Cihang Xie	2023	arxiv 2305.07017
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data	Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach	2015	arxiv 1511.05284
Residual CNDS	Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma	2016	arxiv 1608.02201
Crafting GBD-Net for Object Detection	Xingyu Zeng, Wanli Ouyang, Junjie Yan	2016	arxiv 1610.02579
Local Similarity-Aware Deep Feature Embedding	Chen Huang, Chen Change Loy, Xiaoou Tang	2016	arxiv 1610.08904
Learning to Recognize Objects by Retaining other Factors of Variation	Jiaping Zhao, Chin-kai Chang, Laurent Itti	2016	arxiv 1607.05851
Trained Ternary Quantization	Chenzhuo Zhu, Song Han, Huizi Mao	2016	arxiv 1612.01064

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