List your company

Research

Papers for “imagenet”

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

Search results

TitleAuthorsYearSource
LipCache: A Local Inference Proxy with Certified Caching for Edge Image Classification ServiceZhengzhe Xiang, Yinlin Chen, Fuli Ying2026arxiv 2608.13144
High Fidelity Image Synthesis With Deep VAEs In Latent SpaceTroy Luhman, Eric Luhman2023arxiv 2303.13714
Robustness of Rotation-Equivariant Networks to Adversarial PerturbationsBeranger Dumont, Simona Maggio, Pablo Montalvo2018arxiv 1802.06627
Object Detection in Video with Spatiotemporal Sampling NetworksGedas Bertasius, Lorenzo Torresani, Jianbo Shi2018arxiv 1803.05549
Fine-Tuning VGG Neural Network For Fine-grained State Recognition of Food ImagesKaoutar Ben Ahmed, Ahmad Babaeian Jelodar2018arxiv 1809.09529
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge DevicesXiaofan Xu, Mi Sun Park, Cormac Brick2018arxiv 1811.00482
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on ClassificationBo Yang Hsueh, Wei Li, I-Chen Wu2018arxiv 1806.01593
Partial Convolution based PaddingGuilin Liu, Kevin J. Shih, Ting-Chun Wang2018arxiv 1811.11718
Image Classification at Supercomputer ScaleChris Ying, Sameer Kumar, Dehao Chen2018arxiv 1811.06992
Spatial Correlation and Value Prediction in Convolutional Neural NetworksGil Shomron, Uri Weiser2018arxiv 1807.10598
An empirical study of pretrained representations for few-shot classificationTiago Ramalho, Thierry Sousbie, Stefano Peluchetti2019arxiv 1910.01319
Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random IndicesForoozan Karimzadeh, Ningyuan Cao, Brian Crafton2019arxiv 1911.04468
Measuring and improving the quality of visual explanationsAgnieszka Grabska-Barwińska2020arxiv 2003.08774
Controlling Information Capacity of Binary Neural NetworkDmitry Ignatov, Andrey Ignatov2020arxiv 2008.01438
Roof material classification from aerial imageryRoman Solovyev2020arxiv 2004.11482
Noise or Signal: The Role of Image Backgrounds in Object RecognitionKai Xiao, Logan Engstrom, Andrew Ilyas2020arxiv 2006.09994
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian ProcessesMarcelo Gennari do Nascimento, Theo W. Costain, Victor Adrian Prisacariu2020arxiv 2007.07743
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing UnitsGuangli Li, Lei Liu, Xueying Wang2020arxiv 2003.08646
Adversarially Robust Few-Shot Learning: A Meta-Learning ApproachMicah Goldblum, Liam Fowl, Tom Goldstein2019arxiv 1910.00982
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature MapsMaximilian Seitzer, Andreas Foltyn, Felix P. Kemeth2020arxiv 2002.12356