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 1876–1900 of 10420 papers

Title	Date	Tasks	Status	Hype
On Robustness and Transferability of Convolutional Neural Networks	Jul 16, 2020	image-classificationImage Classification	CodeCode Available	1
OccamNet: A Fast Neural Model for Symbolic Regression at Scale	Jul 16, 2020	CPUGPU	CodeCode Available	1
Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data	Jul 16, 2020	BIG-bench Machine LearningClustering	CodeCode Available	1
Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble	Jul 15, 2020	Data Augmentationimage-classification	CodeCode Available	1
AQD: Towards Accurate Fully-Quantized Object Detection	Jul 14, 2020	Image ClassificationObject	CodeCode Available	1
Patch-wise Attack for Fooling Deep Neural Network	Jul 14, 2020	Adversarial AttackImage Classification	CodeCode Available	1
Concept Learners for Few-Shot Learning	Jul 14, 2020	Few-Shot LearningFine-Grained Image Classification	CodeCode Available	1
Learning to Learn Parameterized Classification Networks for Scalable Input Images	Jul 13, 2020	ClassificationGeneral Classification	CodeCode Available	1
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection	Jul 13, 2020	image-classificationImage Classification	CodeCode Available	1
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification	Jul 11, 2020	ClassificationGeneral Classification	CodeCode Available	1
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks	Jul 11, 2020	image-classificationImage Classification	CodeCode Available	1
AdaScale SGD: A User-Friendly Algorithm for Distributed Training	Jul 9, 2020	image-classificationImage Classification	CodeCode Available	1
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning	Jul 9, 2020	FairnessFederated Learning	CodeCode Available	1
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation	Jul 9, 2020	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Dynamic Group Convolution for Accelerating Convolutional Neural Networks	Jul 8, 2020	Computational Efficiencyimage-classification	CodeCode Available	1
Discretization-Aware Architecture Search	Jul 7, 2020	image-classificationImage Classification	CodeCode Available	1
SpinalNet: Deep Neural Network with Gradual Input	Jul 7, 2020	Fine-Grained Image ClassificationImage Classification	CodeCode Available	1
GOLD-NAS: Gradual, One-Level, Differentiable	Jul 7, 2020	image-classificationImage Classification	CodeCode Available	1
Adaptive Risk Minimization: Learning to Adapt to Domain Shift	Jul 6, 2020	BIG-bench Machine LearningDomain Generalization	CodeCode Available	1
Self-Challenging Improves Cross-Domain Generalization	Jul 5, 2020	Domain Generalizationimage-classification	CodeCode Available	1
Rethinking Channel Dimensions for Efficient Model Design	Jul 2, 2020	Image ClassificationInstance Segmentation	CodeCode Available	1
Measuring Robustness to Natural Distribution Shifts in Image Classification	Jul 1, 2020	ClassificationDomain Generalization	CodeCode Available	1
Early-Learning Regularization Prevents Memorization of Noisy Labels	Jun 30, 2020	General ClassificationImage Classification	CodeCode Available	1
Ontology-guided Semantic Composition for Zero-Shot Learning	Jun 30, 2020	image-classificationImage Classification	CodeCode Available	1
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules	Jun 30, 2020	image-classificationImage 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	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