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 2151–2160 of 10420 papers

Title	Date	Tasks	Status	Hype
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations	Feb 21, 2019	Adversarial AttackAdversarial Defense	CodeCode Available	1
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting	Feb 20, 2019	Image ClassificationMeta-Learning	CodeCode Available	1
Simplifying Graph Convolutional Networks	Feb 19, 2019	Graph RegressionImage Classification	CodeCode Available	1
Evolutionary Neural AutoML for Deep Learning	Feb 18, 2019	AutoMLDeep Learning	CodeCode Available	1
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion	Feb 10, 2019	image-classificationImage Classification	CodeCode Available	1
Parameter-Efficient Transfer Learning for NLP	Feb 2, 2019	Image ClassificationText Classification	CodeCode Available	1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation	Jan 21, 2019	Diabetic Retinopathy DetectionDomain Adaptation	CodeCode Available	1
Class-Balanced Loss Based on Effective Number of Samples	Jan 16, 2019	Image ClassificationLong-tail Learning	CodeCode Available	1
A Comprehensive Survey on Graph Neural Networks	Jan 3, 2019	BIG-bench Machine Learningimage-classification	CodeCode Available	1
On Minimum Discrepancy Estimation for Deep Domain Adaptation	Jan 2, 2019	Domain AdaptationGeneral Classification	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	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified