Research

Papers for “imagenet”

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

Title	Authors	Year	Source
CRF Learning with CNN Features for Image Segmentation	Fayao Liu, Guosheng Lin, Chunhua Shen	2015	arxiv 1503.08263
Striving for Simplicity: The All Convolutional Net	Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox	2014	arxiv 1412.6806
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification	Shengxin Zha, Florian Luisier, Walter Andrews	2015	arxiv 1503.04144
Gradual DropIn of Layers to Train Very Deep Neural Networks	Leslie N. Smith, Emily M. Hand, Timothy Doster	2015	arxiv 1511.06951
Learning both Weights and Connections for Efficient Neural Networks	Song Han, Jeff Pool, John Tran	2015	arxiv 1506.02626
All you need is a good init	Dmytro Mishkin, Jiri Matas	2015	arxiv 1511.06422
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units	Wenling Shang, Kihyuk Sohn, Diogo Almeida	2016	arxiv 1603.05201
About Pyramid Structure in Convolutional Neural Networks	Ihsan Ullah, Alfredo Petrosino	2016	arxiv 1608.04064
Crafting a multi-task CNN for viewpoint estimation	Francisco Massa, Renaud Marlet, Mathieu Aubry	2016	arxiv 1609.03894
Xception: Deep Learning with Depthwise Separable Convolutions	François Chollet	2016	arxiv 1610.02357
On the Relation between Color Image Denoising and Classification	Jiqing Wu, Radu Timofte, Zhiwu Huang	2017	arxiv 1704.01372
Adversarial Transformation Networks: Learning to Generate Adversarial Examples	Shumeet Baluja, Ian Fischer	2017	arxiv 1703.09387
Self-supervised learning of visual features through embedding images into text topic spaces	Lluis Gomez, Yash Patel, Marçal Rusiñol	2017	arxiv 1705.08631
Interleaved Group Convolutions for Deep Neural Networks	Ting Zhang, Guo-Jun Qi, Bin Xiao	2017	arxiv 1707.02725
Factorized Bilinear Models for Image Recognition	Yanghao Li, Naiyan Wang, Jiaying Liu	2016	arxiv 1611.05709
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks	Naman Maheshwari, Nicholas Malaya, Scott Moe	2023	arxiv 2307.12679
Corridor Geometry in Gradient-Based Optimization	Benoit Dherin, Mihaela Rosca	2024	arxiv 2402.08818
Exploiting Information Redundancy in Attention Maps for Extreme Quantization of Vision Transformers	Lucas Maisonnave, Karim Haroun, Tom Pegeot	2025	arxiv 2508.16311
Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy	Hyeju Shin, Vincent-Daniel, Kyudan Jung	2025	arxiv 2505.04468
Trusting SVM for Piecewise Linear CNNs	Leonard Berrada, Andrew Zisserman, M. Pawan Kumar	2016	arxiv 1611.02185

Search results