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 6901–6925 of 10420 papers

Title	Date	Tasks	Status	Hype
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging	Oct 6, 2020	Image ClassificationImage-text matching	—Unverified	0
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference	Oct 6, 2020	image-classificationImage Classification	CodeCode Available	1
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization	Oct 6, 2020	Data AugmentationFine-Grained Image Classification	—Unverified	0
Microscopic fine-grained instance classification through deep attention	Oct 6, 2020	ClassificationDeep Attention	—Unverified	0
Visualizing Color-wise Saliency of Black-Box Image Classification Models	Oct 6, 2020	ClassificationGeneral Classification	—Unverified	0
Descriptive analysis of computational methods for automating mammograms with practical applications	Oct 6, 2020	Content-Based Image RetrievalDescriptive	—Unverified	0
Rotate to Attend: Convolutional Triplet Attention Module	Oct 6, 2020	image-classificationImage Classification	CodeCode Available	1
Usable Information and Evolution of Optimal Representations During Training	Oct 6, 2020	Decision Makingimage-classification	—Unverified	0
Exploring the Interchangeability of CNN Embedding Spaces	Oct 5, 2020	ClassificationFace Recognition	—Unverified	0
CO2: Consistent Contrast for Unsupervised Visual Representation Learning	Oct 5, 2020	Contrastive Learningimage-classification	—Unverified	0
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks	Oct 5, 2020	Data Augmentationimage-classification	—Unverified	0
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach	Oct 5, 2020	Image ClassificationImage Classification with Label Noise	CodeCode Available	1
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts	Oct 5, 2020	DiversityImage Classification	CodeCode Available	1
Lipschitz Bounded Equilibrium Networks	Oct 5, 2020	Generalization Boundsimage-classification	—Unverified	0
Robust High-dimensional Memory-augmented Neural Networks	Oct 5, 2020	Few-Shot Image Classificationimage-classification	—Unverified	0
Feature Whitening via Gradient Transformation for Improved Convergence	Oct 4, 2020	image-classificationImage Classification	—Unverified	0
Supporting large-scale image recognition with out-of-domain samples	Oct 4, 2020	Image ClassificationImage Retrieval	CodeCode Available	1
A Study for Universal Adversarial Attacks on Texture Recognition	Oct 4, 2020	Adversarial AttackDeep Learning	—Unverified	0
Improving Network Slimming with Nonconvex Regularization	Oct 3, 2020	compressed sensingimage-classification	CodeCode Available	0
Sharpness-Aware Minimization for Efficiently Improving Generalization	Oct 3, 2020	Fine-Grained Image ClassificationImage Classification	CodeCode Available	2
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings	Oct 3, 2020	AllGeneral Classification	CodeCode Available	1
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration	Oct 3, 2020	image-classificationImage Classification	—Unverified	0
Consensus Clustering With Unsupervised Representation Learning	Oct 3, 2020	ClusteringData Augmentation	—Unverified	0
Neural Bootstrapper	Oct 2, 2020	Active LearningBIG-bench Machine Learning	CodeCode Available	1
Contrastive Learning of Medical Visual Representations from Paired Images and Text	Oct 2, 2020	Contrastive LearningDescriptive	CodeCode Available	1

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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