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 3191–3200 of 10420 papers

Title	Date	Tasks	Status	Score
Bayesian Concept Bottleneck Models with LLM Priors	Oct 21, 2024	Image Classificationtabular-classification	CodeCode Available	5
DeepOBS: A Deep Learning Optimizer Benchmark Suite	Mar 13, 2019	BenchmarkingDeep Learning	CodeCode Available	5
A Multi-task Supervised Compression Model for Split Computing	Jan 2, 2025	Edge-computingimage-classification	CodeCode Available	5
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints	May 12, 2019	General Classificationimage-classification	CodeCode Available	5
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance	Mar 27, 2025	Computational EfficiencyFederated Learning	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
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games	Mar 26, 2019	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture	Sep 30, 2022	Bayesian Optimizationimage-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	Meta Pseudo Labels (EfficientNet-L2)	Top 1 Accuracy	90.2	—	Unverified
6	DaViT-H	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