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 2051–2060 of 10420 papers

Title	Date	Tasks	Status	Hype	Score
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network	Mar 6, 2024	Image Classification	CodeCode Available	1	5
Container: Context Aggregation Network	Jun 2, 2021	Image ClassificationInductive Bias	CodeCode Available	1	5
Improved Regularization and Robustness for Fine-tuning in Neural Networks	Nov 8, 2021	image-classificationImage Classification	CodeCode Available	1	5
Improving Generalization in Federated Learning by Seeking Flat Minima	Mar 22, 2022	Domain GeneralizationFederated Learning	CodeCode Available	1	5
Consistency-based Active Learning for Object Detection	Mar 18, 2021	Active LearningClassification	CodeCode Available	1	5
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases	Oct 28, 2020	BIG-bench Machine LearningFace Recognition	CodeCode Available	1	5
Image sensing with multilayer, nonlinear optical neural networks	Jul 27, 2022	image-classificationImage Classification	CodeCode Available	1	5
A Simple Semi-Supervised Learning Framework for Object Detection	May 10, 2020	Data Augmentationimage-classification	CodeCode Available	1	5
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis	Nov 7, 2023	DecoderFine-Grained Image Classification	CodeCode Available	1	5
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness	Nov 29, 2018	Domain GeneralizationImage 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	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