Image Classification
State-of-the-art leaderboards
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Subtasks
Greatest papers with code
Learning Transferable Architectures for Scalable Image Recognition
CVPR 2018
• tensorflow/models
• 
In our experiments, we search for the best convolutional layer (or "cell") on the CIFAR-10 dataset and then apply this cell to the ImageNet dataset by stacking together more copies of this cell, each with their own parameters to design a convolutional architecture, named "NASNet architecture".
#6 best model for
Image Classification
on ImageNet
The iNaturalist Species Classification and Detection Dataset
CVPR 2018
• tensorflow/models
•
Existing image classification datasets used in computer vision tend to have a uniform distribution of images across object categories.
SOTA for Image Classification on iNaturalist
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
We present a class of efficient models called MobileNets for mobile and embedded vision applications.
#22 best model for
Image Classification
on ImageNet
Xception: Deep Learning with Depthwise Separable Convolutions
CVPR 2017
• tensorflow/models
•
We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution followed by a pointwise convolution).
#15 best model for
Image Classification
on ImageNet
Wide Residual Networks
Deep residual networks were shown to be able to scale up to thousands of layers and still have improving performance.
#6 best model for
Image Classification
on SVHN
Identity Mappings in Deep Residual Networks
Deep residual networks have emerged as a family of extremely deep architectures showing compelling accuracy and nice convergence behaviors.
#12 best model for
Image Classification
on CIFAR-100
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Recently, the introduction of residual connections in conjunction with a more traditional architecture has yielded state-of-the-art performance in the 2015 ILSVRC challenge; its performance was similar to the latest generation Inception-v3 network.
#10 best model for
Image Classification
on ImageNet
Deep Residual Learning for Image Recognition
CVPR 2016
• tensorflow/models
•
Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
#10 best model for
Object Detection
on PASCAL VOC 2007
Rethinking the Inception Architecture for Computer Vision
CVPR 2016
• tensorflow/models
•
Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks.
#17 best model for
Image Classification
on ImageNet
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change.
#20 best model for
Image Classification
on ImageNet