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 3201–3210 of 10420 papers

Title	Date	Tasks	Status	Score
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring	Jul 17, 2022	image-classificationImage Classification	CodeCode Available	5
Deep Object Co-segmentation via Spatial-Semantic Network Modulation	Nov 29, 2019	General Classificationimage-classification	CodeCode Available	5
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network	Apr 17, 2020	Face RecognitionGeneral Classification	CodeCode Available	5
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture	Sep 30, 2022	Bayesian Optimizationimage-classification	CodeCode Available	5
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Nov 27, 2023	General Knowledgeimage-classification	CodeCode Available	5
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection	Feb 3, 2025	Image Classification	CodeCode Available	5
Deep Neural Networks Motivated by Partial Differential Equations	Apr 12, 2018	Denoisingimage-classification	CodeCode Available	5
Domain-independent Dominance of Adaptive Methods	Dec 4, 2019	image-classificationImage Classification	CodeCode Available	5
Batch-Shaping for Learning Conditional Channel Gated Networks	Jul 15, 2019	image-classificationImage Classification	CodeCode Available	5
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization	May 27, 2019	AutoMLimage-classification	CodeCode Available	5

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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