Research
Papers for “imagenet”
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
Search results
| Title | Authors | Year | Source |
|---|---|---|---|
| When does Privileged Information Explain Away Label Noise? | Guillermo Ortiz-Jimenez, Mark Collier, Anant Nawalgaria | 2023 | arxiv 2303.01806 |
| OmniMAE: Single Model Masked Pretraining on Images and Videos | Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh | 2022 | arxiv 2206.08356 |
| On the Generalization of Multi-modal Contrastive Learning | Qi Zhang, Yifei Wang, Yisen Wang | 2023 | arxiv 2306.04272 |
| Overcoming Simplicity Bias in Deep Networks using a Feature Sieve | Rishabh Tiwari, Pradeep Shenoy | 2023 | arxiv 2301.13293 |
| An Automatic Diagnosis Method of Facial Acne Vulgaris Based on Convolutional Neural Network | Xiaolei Shen, Jiachi Zhang, Chenjun Yan | 2017 | arxiv 1711.04481 |
| Efficient Sparse-Winograd Convolutional Neural Networks | Xingyu Liu, Jeff Pool, Song Han | 2018 | arxiv 1802.06367 |
| Deep Learning is Robust to Massive Label Noise | David Rolnick, Andreas Veit, Serge Belongie | 2017 | arxiv 1705.10694 |
| Between-class Learning for Image Classification | Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada | 2017 | arxiv 1711.10284 |
| Multilevel Context Representation for Improving Object Recognition | Andreas Kölsch, Muhammad Zeshan Afzal, Marcus Liwicki | 2017 | arxiv 1703.06408 |
| End-to-end Video-level Representation Learning for Action Recognition | Jiagang Zhu, Wei Zou, Zheng Zhu | 2017 | arxiv 1711.04161 |
| Perturbative Neural Networks | Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides | 2018 | arxiv 1806.01817 |
| i-RevNet: Deep Invertible Networks | Jörn-Henrik Jacobsen, Arnold Smeulders, Edouard Oyallon | 2018 | arxiv 1802.07088 |
| Beyond One-hot Encoding: lower dimensional target embedding | Pau Rodríguez, Miguel A. Bautista, Jordi Gonzàlez | 2018 | arxiv 1806.10805 |
| Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning | João Bernardino, Luís Filipe Teixeira, Hugo Sereno Ferreira (1 and 2) __INSTITUTION_3__ DEI - Faculty of Engineering - University of Porto | 2018 | arxiv 1807.07521 |
| Improving Generalization via Scalable Neighborhood Component Analysis | Zhirong Wu, Alexei A. Efros, Stella X. Yu | 2018 | arxiv 1808.04699 |
| Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions | Fabio Carrara, Andrea Esuli, Tiziano Fagni | 2016 | arxiv 1606.07287 |
| Transferring GANs: generating images from limited data | Yaxing Wang, Chenshen Wu, Luis Herranz | 2018 | arxiv 1805.01677 |
| Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition | Kuan Han, Haiguang Wen, Yizhen Zhang | 2018 | arxiv 1805.07526 |
| Progressive Weight Pruning of Deep Neural Networks using ADMM | Shaokai Ye, Tianyun Zhang, Kaiqi Zhang | 2018 | arxiv 1810.07378 |
| The Toybox Dataset of Egocentric Visual Object Transformations | Xiaohan Wang, Tengyu Ma, James Ainooson | 2018 | arxiv 1806.06034 |