Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 8251–8275 of 10420 papers

Title	Date	Tasks	Status
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification	Oct 17, 2019	ClassificationGeneral Classification	CodeCode Available
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms	Oct 16, 2019	Decision MakingExplainable artificial intelligence	—Unverified
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost	Oct 16, 2019	Active Learningimage-classification	—Unverified
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution	Oct 15, 2019	ClassificationGeneral Classification	—Unverified
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design	Oct 15, 2019	General Classificationimage-classification	—Unverified
Transfer Learning for Algorithm Recommendation	Oct 15, 2019	BIG-bench Machine Learningimage-classification	—Unverified
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks	Oct 14, 2019	image-classificationImage Classification	CodeCode Available
Scale-Equivariant Steerable Networks	Oct 14, 2019	Computational EfficiencyImage Classification	CodeCode Available
A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata	Oct 13, 2019	image-classificationImage Classification	—Unverified
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images	Oct 13, 2019	Data Augmentationimage-classification	CodeCode Available
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation	Oct 12, 2019	Domain Adaptationimage-classification	CodeCode Available
Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation	Oct 12, 2019	ClassificationData Augmentation	CodeCode Available
Context-Gated Convolution	Oct 12, 2019	Action Recognitionimage-classification	CodeCode Available
Blink: Fast and Generic Collectives for Distributed ML	Oct 11, 2019	image-classificationImage Classification	—Unverified
Demon: Improved Neural Network Training with Momentum Decay	Oct 11, 2019	image-classificationImage Classification	CodeCode Available
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?	Oct 11, 2019	image-classificationImage Classification	—Unverified
Multi-Stage Pathological Image Classification using Semantic Segmentation	Oct 10, 2019	ClassificationGeneral Classification	—Unverified
On the adequacy of untuned warmup for adaptive optimization	Oct 9, 2019	Image ClassificationLanguage Modelling	CodeCode Available
Cribriform pattern detection in prostate histopathological images using deep learning models	Oct 9, 2019	ClassificationDeep Learning	—Unverified
Dynamic Mode Decomposition based feature for Image Classification	Oct 8, 2019	BIG-bench Machine LearningClassification	CodeCode Available
Observer Dependent Lossy Image Compression	Oct 8, 2019	ClassificationGeneral Classification	CodeCode Available
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation	Oct 7, 2019	Image ClassificationObject	CodeCode Available
Deep Neural Network Compression for Image Classification and Object Detection	Oct 7, 2019	ClassificationClustering	CodeCode Available
Deep Kernel Learning via Random Fourier Features	Oct 7, 2019	image-classificationImage Classification	—Unverified
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces	Oct 7, 2019	BIG-bench Machine LearningGeneral Classification	—Unverified

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All datasets ImageNet CIFAR-10 CIFAR-100 STL-10 ObjectNet MNIST SVHN iNaturalist 2018 ImageNet ReaL Flowers-102 Clothing1M mini WebVision 1.0

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CoCa (finetuned)	Top 1 Accuracy	91	—	Unverified
2	Model soups (BASIC-L)	Top 1 Accuracy	90.98	—	Unverified
3	Model soups (ViT-G/14)	Top 1 Accuracy	90.94	—	Unverified
4	DaViT-G	Top 1 Accuracy	90.4	—	Unverified
5	DaViT-H	Top 1 Accuracy	90.2	—	Unverified
6	Meta Pseudo Labels (EfficientNet-L2)	Top 1 Accuracy	90.2	—	Unverified
7	SwinV2-G	Top 1 Accuracy	90.17	—	Unverified
8	MAWS (ViT-6.5B)	Top 1 Accuracy	90.1	—	Unverified
9	Florence-CoSwin-H	Top 1 Accuracy	90.05	—	Unverified
10	RevCol-H	Top 1 Accuracy	90	—	Unverified