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 10101–10125 of 10420 papers

Title	Date	Tasks	Status	Hype
Data-dependent Initializations of Convolutional Neural Networks	Nov 21, 2015	image-classificationImage Classification	CodeCode Available	0
Top-k Multiclass SVM	Nov 20, 2015	General Classificationimage-classification	CodeCode Available	0
Semantic Diversity versus Visual Diversity in Visual Dictionaries	Nov 20, 2015	DiversityGeneral Classification	—Unverified	0
Training CNNs with Low-Rank Filters for Efficient Image Classification	Nov 20, 2015	ClassificationGeneral Classification	—Unverified	0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?	Nov 19, 2015	ClassificationComputed Tomography (CT)	—Unverified	0
Convolutional Clustering for Unsupervised Learning	Nov 19, 2015	ClusteringImage Classification	—Unverified	0
All you need is a good init	Nov 19, 2015	AllImage Classification	CodeCode Available	1
Geodesics of learned representations	Nov 19, 2015	image-classificationImage Classification	—Unverified	0
Compact Bilinear Pooling	Nov 19, 2015	Face RecognitionFew-Shot Learning	CodeCode Available	0
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks	Nov 19, 2015	ClusteringGeneral Classification	CodeCode Available	0
Learning to Generate Images with Perceptual Similarity Metrics	Nov 19, 2015	image-classificationImage Classification	—Unverified	0
Competitive Multi-scale Convolution	Nov 18, 2015	Image Classification	—Unverified	0
Sparse learning of maximum likelihood model for optimization of complex loss function	Nov 18, 2015	image-classificationImage Classification	—Unverified	0
Staleness-aware Async-SGD for Distributed Deep Learning	Nov 18, 2015	Deep LearningDistributed Computing	CodeCode Available	0
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning	Nov 17, 2015	General Classificationimage-classification	—Unverified	0
Learning Structured Inference Neural Networks with Label Relations	Nov 17, 2015	General Classificationimage-classification	—Unverified	0
DeepFool: a simple and accurate method to fool deep neural networks	Nov 14, 2015	Adversarial AttackGeneral Classification	CodeCode Available	0
Learning Fine-grained Features via a CNN Tree for Large-scale Classification	Nov 14, 2015	General Classificationimage-classification	—Unverified	0
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning	Nov 11, 2015	image-classificationImage Classification	—Unverified	0
Universum Prescription: Regularization using Unlabeled Data	Nov 11, 2015	Image Classification	—Unverified	0
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing	Nov 10, 2015	image-classificationImage Classification	—Unverified	0
The Radon cumulative distribution transform and its application to image classification	Nov 10, 2015	General Classificationimage-classification	—Unverified	0
Batch-normalized Maxout Network in Network	Nov 9, 2015	Image Classification	CodeCode Available	0
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition	Nov 6, 2015	Action Recognitionimage-classification	—Unverified	0
Image classification based on support vector machine and the fusion of complementary features	Nov 5, 2015	ClassificationClustering	—Unverified	0

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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