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 2461–2470 of 10420 papers

Title	Date	Tasks	Status
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models	Sep 8, 2023	Brain DecodingEEG	CodeCode Available
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection	Sep 8, 2023	image-classificationImage Classification	—Unverified
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks	Sep 8, 2023	Federated Learningimage-classification	—Unverified
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning	Sep 8, 2023	Image ClassificationImage Generation	—Unverified
Improving Resnet-9 Generalization Trained on Small Datasets	Sep 7, 2023	image-classificationImage Classification	—Unverified
How adversarial attacks can disrupt seemingly stable accurate classifiers	Sep 7, 2023	image-classificationImage Classification	—Unverified
Signatures of Bayesian inference emerge from energy efficient synapses	Sep 6, 2023	Bayesian Inferenceimage-classification	CodeCode Available
Multiclass Alignment of Confidence and Certainty for Network Calibration	Sep 6, 2023	image-classificationImage Classification	—Unverified
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat	Sep 6, 2023	ClassificationFederated Learning	—Unverified
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach	Sep 6, 2023	Classificationimage-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	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified