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 4251–4260 of 10420 papers

Title	Date	Tasks	Status	Hype
Deep reinforced active learning for multi-class image classification	Jun 20, 2022	Active LearningClassification	—Unverified	0
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures	Jun 20, 2022	AttributeFairness	CodeCode Available	0
When Does Re-initialization Work?	Jun 20, 2022	Data Augmentationimage-classification	—Unverified	0
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning	Jun 20, 2022	Active Learningimage-classification	—Unverified	0
Revisiting lp-constrained Softmax Loss: A Comprehensive Study	Jun 20, 2022	Classificationimage-classification	CodeCode Available	0
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification	Jun 20, 2022	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Global Context Vision Transformers	Jun 20, 2022	image-classificationImage Classification	CodeCode Available	2
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm	Jun 19, 2022	image-classificationImage Classification	CodeCode Available	1
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data	Jun 19, 2022	image-classificationImage Classification	CodeCode Available	0
0/1 Deep Neural Networks via Block Coordinate Descent	Jun 19, 2022	10-shot image generation	—Unverified	0

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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	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified