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 6651–6675 of 10420 papers

Title	Date	Tasks	Status	Hype
Matching Distributions via Optimal Transport for Semi-Supervised Learning	Dec 4, 2020	image-classificationImage Classification	—Unverified	0
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation	Dec 4, 2020	Domain Adaptationimage-classification	—Unverified	0
Model-Agnostic Learning to Meta-Learn	Dec 4, 2020	image-classificationImage Classification	—Unverified	0
Learning Equivariant Representations	Dec 4, 2020	3D Shape ClassificationGeneral Classification	CodeCode Available	1
Practical No-box Adversarial Attacks against DNNs	Dec 4, 2020	Face Verificationimage-classification	CodeCode Available	1
Batch Group Normalization	Dec 4, 2020	Domain AdaptationFew-Shot Learning	—Unverified	0
Evolving Character-Level DenseNet Architectures using Genetic Programming	Dec 3, 2020	ClassificationGeneral Classification	—Unverified	0
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion	Dec 3, 2020	image-classificationImage Classification	CodeCode Available	1
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models	Dec 3, 2020	General Classificationimage-classification	—Unverified	0
Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering	Dec 3, 2020	General Classificationimage-classification	CodeCode Available	0
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks	Dec 2, 2020	ClusteringFace Recognition	—Unverified	0
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?	Dec 2, 2020	Decision MakingDeep Reinforcement Learning	—Unverified	0
Chair Segments: A Compact Benchmark for the Study of Object Segmentation	Dec 2, 2020	GPUimage-classification	CodeCode Available	0
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution	Dec 2, 2020	Allimage-classification	—Unverified	0
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs	Dec 2, 2020	Data Augmentationimage-classification	—Unverified	0
Rethinking Skip Connection with Layer Normalization	Dec 1, 2020	image-classificationImage Classification	—Unverified	0
Adversarial Robustness Across Representation Spaces	Dec 1, 2020	Adversarial Robustnessimage-classification	—Unverified	0
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation	Dec 1, 2020	Data AugmentationDomain Adaptation	CodeCode Available	1
Communication-Efficient Federated Distillation	Dec 1, 2020	Federated Learningimage-classification	—Unverified	0
Disentangling Label Distribution for Long-tailed Visual Recognition	Dec 1, 2020	Image ClassificationLong-tail Learning	CodeCode Available	1
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data	Dec 1, 2020	Bandwidth Extensionimage-classification	—Unverified	0
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets	Dec 1, 2020	Image Classification	CodeCode Available	0
Learning Invariances in Neural Networks from Training Data	Dec 1, 2020	image-classificationImage Classification	—Unverified	0
Is normalization indispensable for training deep neural network?	Dec 1, 2020	General Classificationimage-classification	CodeCode Available	1
HRN: A Holistic Approach to One Class Learning	Dec 1, 2020	Anomaly Detectionimage-classification	CodeCode Available	1

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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	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified