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 7951–7975 of 10420 papers

Title	Date	Tasks	Status	Hype
Constrained Linear Data-feature Mapping for Image Classification	Nov 23, 2019	ClassificationGeneral Classification	CodeCode Available	0
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction	Nov 22, 2019	Adversarial Attackimage-classification	CodeCode Available	0
Federated Learning with Bayesian Differential Privacy	Nov 22, 2019	Federated Learningimage-classification	—Unverified	0
Optimizing Data Usage via Differentiable Rewards	Nov 22, 2019	image-classificationImage Classification	CodeCode Available	0
Attack Agnostic Statistical Method for Adversarial Detection	Nov 22, 2019	image-classificationImage Classification	—Unverified	0
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring	Nov 21, 2019	Image ClassificationSemi-Supervised Image Classification	CodeCode Available	1
Rethinking Normalization and Elimination Singularity in Neural Networks	Nov 21, 2019	image-classificationImage Classification	CodeCode Available	0
Classification-driven Single Image Dehazing	Nov 21, 2019	ClassificationGeneral Classification	—Unverified	0
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations	Nov 21, 2019	Image ClassificationSemi-Supervised Image Classification	CodeCode Available	0
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels	Nov 21, 2019	Deep LearningImage Classification	CodeCode Available	1
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture	Nov 21, 2019	GPUimage-classification	CodeCode Available	0
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks	Nov 21, 2019	Image Classificationobject-detection	CodeCode Available	0
Regularizing Neural Networks by Stochastically Training Layer Ensembles	Nov 21, 2019	General Classificationimage-classification	CodeCode Available	0
Quantization Networks	Nov 21, 2019	image-classificationImage Classification	CodeCode Available	0
Adversarial Examples Improve Image Recognition	Nov 21, 2019	Domain GeneralizationImage Classification	CodeCode Available	0
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks	Nov 21, 2019	image-classificationImage Classification	—Unverified	0
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning	Nov 21, 2019	General Classificationimage-classification	—Unverified	0
Outside the Box: Abstraction-Based Monitoring of Neural Networks	Nov 20, 2019	General Classificationimage-classification	CodeCode Available	0
MetH: A family of high-resolution and variable-shape image challenges	Nov 20, 2019	image-classificationImage Classification	CodeCode Available	0
Deep Learning based HEp-2 Image Classification: A Comprehensive Review	Nov 20, 2019	ClassificationDeep Learning	—Unverified	0
Inspect Transfer Learning Architecture with Dilated Convolution	Nov 20, 2019	General Classificationimage-classification	—Unverified	0
Auto-Precision Scaling for Distributed Deep Learning	Nov 20, 2019	Deep LearningImage Classification	CodeCode Available	0
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach	Nov 19, 2019	image-classificationImage Classification	CodeCode Available	0
Rethinking deep active learning: Using unlabeled data at model training	Nov 19, 2019	Active Learningimage-classification	CodeCode Available	0
IC-Network: Efficient Structure for Convolutional Neural Networks	Nov 19, 2019	General ClassificationImage Classification	—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	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified