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

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Showing 1–10 of 10419 papers

Title	Date	Tasks	Status
Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations	Jul 18, 2025	Crack SegmentationDeep Learning	—Unverified
Adversarial attacks to image classification systems using evolutionary algorithms	Jul 17, 2025	ClassificationDiversity	—Unverified
Federated Learning for Commercial Image Sources	Jul 17, 2025	Federated Learningimage-classification	—Unverified
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy	Jul 17, 2025	image-classificationImage Classification	—Unverified
MUPAX: Multidimensional Problem Agnostic eXplainable AI	Jul 17, 2025	Anatomical Landmark DetectionAudio Classification	—Unverified
Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking	Jul 15, 2025	image-classificationImage Classification	CodeCode Available
Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks	Jul 14, 2025	image-classificationImage Classification	—Unverified
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise	Jul 13, 2025	Federated Learningimage-classification	—Unverified
ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation	Jul 12, 2025	Few-Shot Image Classificationimage-classification	CodeCode Available
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks	Jul 11, 2025	image-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	Top-1 Accuracy	82.7	—	Unverified
2	LiT	Top-1 Accuracy	82.5	—	Unverified
3	BASIC	Top-1 Accuracy	82.3	—	Unverified
4	ViT-H/14	Top-5 Accuracy	82.1	—	Unverified
5	EVA-02-CLIP-E/14+	Top-1 Accuracy	79.6	—	Unverified
6	Baseline (ViT-G/14)	Top-1 Accuracy	79.03	—	Unverified
7	Model soups (ViT-G/14)	Top-1 Accuracy	78.52	—	Unverified
8	MAWS (ViT-6.5B)	Top-1 Accuracy	77.9	—	Unverified
9	MAWS (ViT-2B)	Top-1 Accuracy	75.8	—	Unverified
10	MAWS (ViT-H)	Top-1 Accuracy	72.6	—	Unverified