Image Classification

1701 papers with code • 67 benchmarks • 126 datasets

Image Classification is a fundamental task that attempts to comprehend an entire image as a whole. The goal is to classify the image by assigning it to a specific label. Typically, Image Classification refers to images in which only one object appears and is analyzed. In contrast, object detection involves both classification and localization tasks, and is used to analyze more realistic cases in which multiple objects may exist in an image.

Source: Metamorphic Testing for Object Detection Systems

Greatest papers with code

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

tensorflow/tensorflow 17 Apr 2017

We present a class of efficient models called MobileNets for mobile and embedded vision applications.

General Classification Image Classification +1

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

tensorflow/models 22 Apr 2021

We show that the convolution-free VATT outperforms state-of-the-art ConvNet-based architectures in the downstream tasks.

 Ranked #1 on Action Classification on Moments in Time (using extra training data)

Action Classification Action Recognition +6

Searching for MobileNetV3

tensorflow/models ICCV 2019

We achieve new state of the art results for mobile classification, detection and segmentation.

Ranked #57 on Semantic Segmentation on Cityscapes test (using extra training data)

Image Classification Neural Architecture Search +2

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

tensorflow/models CVPR 2019

Therefore, we propose to search the network level structure in addition to the cell level structure, which forms a hierarchical architecture search space.

Image Classification Neural Architecture Search +1

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

tensorflow/models NeurIPS 2018

Recent progress has demonstrated that such meta-learning methods may exceed scalable human-invented architectures on image classification tasks.

Image Classification Meta-Learning +2

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

tensorflow/models ECCV 2018

The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling operations at multiple rates and multiple effective fields-of-view, while the latter networks can capture sharper object boundaries by gradually recovering the spatial information.

Ranked #2 on Semantic Segmentation on PASCAL VOC 2012 test (using extra training data)

Image Classification Lesion Segmentation +1

MobileNetV2: Inverted Residuals and Linear Bottlenecks

tensorflow/models CVPR 2018

In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes.

Image Classification Object Detection +3

Progressive Neural Architecture Search

tensorflow/models ECCV 2018

We propose a new method for learning the structure of convolutional neural networks (CNNs) that is more efficient than recent state-of-the-art methods based on reinforcement learning and evolutionary algorithms.

General Classification Image Classification +1

Learning Transferable Architectures for Scalable Image Recognition

tensorflow/models CVPR 2018

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".

Image Classification Neural Architecture Search

The iNaturalist Species Classification and Detection Dataset

tensorflow/models CVPR 2018

Existing image classification datasets used in computer vision tend to have a uniform distribution of images across object categories.

General Classification Image Classification