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 8126–8150 of 10420 papers

Title	Date	Tasks	Status	Hype
Leveraging Model Interpretability and Stability to increase Model Robustness	Oct 1, 2019	image-classificationImage Classification	CodeCode Available	0
Gated Linear Networks	Sep 30, 2019	Image Classification	CodeCode Available	0
Meta-learning algorithms for Few-Shot Computer Vision	Sep 30, 2019	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	0
Hidden Trigger Backdoor Attacks	Sep 30, 2019	Backdoor Attackimage-classification	CodeCode Available	1
RandAugment: Practical automated data augmentation with a reduced search space	Sep 30, 2019	Data AugmentationDomain Generalization	CodeCode Available	2
XNOR-Net++: Improved Binary Neural Networks	Sep 30, 2019	BinarizationClassification with Binary Neural Network	—Unverified	0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification	Sep 29, 2019	General Classificationimage-classification	—Unverified	0
Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network	Sep 29, 2019	ClassificationGeneral Classification	CodeCode Available	1
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts	Sep 29, 2019	Building change detection for remote sensing imagesCARLA MAP Leaderboard	CodeCode Available	0
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification	Sep 29, 2019	General Classificationimage-classification	CodeCode Available	0
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification	Sep 28, 2019	Binary ClassificationClassification	CodeCode Available	0
Noisy Batch Active Learning with Deterministic Annealing	Sep 27, 2019	Active LearningClustering	CodeCode Available	0
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks	Sep 27, 2019	Adversarial RobustnessBIG-bench Machine Learning	—Unverified	0
Interpreting Undesirable Pixels for Image Classification on Black-Box Models	Sep 27, 2019	ClassificationGeneral Classification	—Unverified	0
Urban Sound Tagging using Convolutional Neural Networks	Sep 27, 2019	Data AugmentationEnvironmental Sound Classification	CodeCode Available	0
Adaptive Binary-Ternary Quantization	Sep 26, 2019	Autonomous VehiclesImage Classification	—Unverified	0
Two-stage Image Classification Supervised by a Single Teacher Single Student Model	Sep 26, 2019	ClassificationGeneral Classification	CodeCode Available	0
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network	Sep 26, 2019	ClassificationGeneral Classification	—Unverified	0
Balanced Binary Neural Networks with Gated Residual	Sep 26, 2019	BinarizationGeneral Classification	CodeCode Available	0
A Base Model Selection Methodology for Efficient Fine-Tuning	Sep 25, 2019	image-classificationImage Classification	—Unverified	0
Improved Training Speed, Accuracy, and Data Utilization via Loss Function Optimization	Sep 25, 2019	AutoMLimage-classification	—Unverified	0
Adapting to Label Shift with Bias-Corrected Calibration	Sep 25, 2019	Diabetic Retinopathy DetectionDomain Adaptation	—Unverified	0
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS	Sep 25, 2019	image-classificationImage Classification	—Unverified	0
Improving Confident-Classifiers For Out-of-distribution Detection	Sep 25, 2019	image-classificationImage Classification	CodeCode Available	0
MANIFOLD FORESTS: CLOSING THE GAP ON NEURAL NETWORKS	Sep 25, 2019	image-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