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 2241–2250 of 10420 papers

Title	Date	Tasks	Status	Hype	Score
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks	Apr 15, 2021	Image Classification	CodeCode Available	1	5
DeepVoxNet2: Yet another CNN framework	Nov 17, 2022	image-classificationImage Classification	CodeCode Available	1	5
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network	Jul 25, 2024	Graph Neural Networkimage-classification	CodeCode Available	1	5
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization	Jul 17, 2023	image-classificationImage Classification	CodeCode Available	1	5
Local Window Attention Transformer for Polarimetric SAR Image Classification	Jan 23, 2023	ClassificationEarth Observation	CodeCode Available	1	5
Deep Roto-Translation Scattering for Object Classification	Dec 30, 2014	ClassificationDictionary Learning	CodeCode Available	1	5
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction	Mar 27, 2020	Activity Recognition In VideosEvent data classification	CodeCode Available	1	5
Convolutional Xformers for Vision	Jan 25, 2022	GPUimage-classification	CodeCode Available	1	5
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	Mar 9, 2017	Category-Agnostic Pose EstimationFew-Shot Image Classification	CodeCode Available	1	5
On Minimum Discrepancy Estimation for Deep Domain Adaptation	Jan 2, 2019	Domain AdaptationGeneral Classification	CodeCode Available	1	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	RevCol-H	Top 1 Accuracy	90	—	Unverified