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 3981–3990 of 10420 papers

Title	Date	Tasks	Status
Initialization Matters for Adversarial Transfer Learning	Dec 10, 2023	Adversarial Robustnessimage-classification	CodeCode Available
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification	Dec 9, 2023	Few-Shot Image Classificationimage-classification	—Unverified
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach	Dec 9, 2023	Federated LearningImage Classification	CodeCode Available
Subject-Based Domain Adaptation for Facial Expression Recognition	Dec 9, 2023	Domain AdaptationFacial Expression Recognition	CodeCode Available
Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning	Dec 8, 2023	image-classificationImage Classification	—Unverified
Annotation-Free Group Robustness via Loss-Based Resampling	Dec 8, 2023	Attributeimage-classification	—Unverified
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models	Dec 8, 2023	Adversarial AttackDeepFake Detection	CodeCode Available
Human-in-the-Loop Visual Re-ID for Population Size Estimation	Dec 8, 2023	ClusteringFine-Grained Image Classification	CodeCode Available
Text as Image: Learning Transferable Adapter for Multi-Label Classification	Dec 7, 2023	image-classificationImage Classification	—Unverified
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning	Dec 7, 2023	Federated Learningimage-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	RevCol-H	Top 1 Accuracy	90	—	Unverified