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 3041–3050 of 10420 papers

Title	Date	Tasks	Status	Score
Learning Implicitly Recurrent CNNs Through Parameter Sharing	Feb 26, 2019	image-classificationImage Classification	CodeCode Available	5
Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation	Jun 25, 2024	Action DetectionBenchmarking	CodeCode Available	5
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Nov 27, 2023	General Knowledgeimage-classification	CodeCode Available	5
Deep Visual City Recognition Visualization	May 6, 2019	image-classificationImage Classification	CodeCode Available	5
Adaptive Sample Selection for Robust Learning under Label Noise	Jun 29, 2021	Image ClassificationImage Classification with Label Noise	CodeCode Available	5
AOGNets: Compositional Grammatical Architectures for Deep Learning	Nov 15, 2017	Adversarial DefenseDeep Learning	CodeCode Available	5
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection	Mar 8, 2017	Attributeimage-classification	CodeCode Available	5
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching	Oct 20, 2022	Attributeimage-classification	CodeCode Available	5
Discrete Representations Strengthen Vision Transformer Robustness	Nov 20, 2021	Domain GeneralizationImage Classification	CodeCode Available	5
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention	Jun 4, 2021	ClassificationFine-Grained Image 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