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 2391–2400 of 10420 papers

Title	Date	Tasks	Status	Hype
Tell Me a Story! Narrative-Driven XAI with Large Language Models	Sep 29, 2023	counterfactualFeature Importance	CodeCode Available	0
Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability	Sep 29, 2023	image-classificationImage Classification	CodeCode Available	0
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization	Sep 29, 2023	Contrastive Learningimage-classification	—Unverified	0
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering	Sep 29, 2023	image-classificationImage Classification	—Unverified	0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification	Sep 28, 2023	image-classificationImage Classification	—Unverified	0
Ultra-low-power Image Classification on Neuromorphic Hardware	Sep 28, 2023	Classificationimage-classification	CodeCode Available	0
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling	Sep 28, 2023	Active LearningDiversity	—Unverified	0
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning	Sep 28, 2023	ClassificationFew-Shot Image Classification	CodeCode Available	0
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models	Sep 28, 2023	image-classificationImage Classification	CodeCode Available	0
Enhancing Sharpness-Aware Optimization Through Variance Suppression	Sep 27, 2023	Data Augmentationimage-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