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 3041–3050 of 10420 papers

Title	Date	Tasks	Status
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task	Aug 4, 2020	image-classificationImage Classification	—Unverified
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks	Jun 17, 2021	Decision Makingimage-classification	—Unverified
Boosting Medical Image Classification with Segmentation Foundation Model	Jun 16, 2024	Classificationimage-classification	—Unverified
An empirical study of pretrained representations for few-shot classification	Oct 3, 2019	Adversarial RobustnessClassification	—Unverified
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning	Oct 21, 2019	Data AugmentationFace Recognition	—Unverified
Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach	Jun 20, 2024	Hyperspectral Image Classificationimage-classification	—Unverified
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models	Oct 30, 2023	image-classificationImage Classification	—Unverified
An empirical study of domain-agnostic semi-supervised learning via energy-based models: joint-training and pre-training	Oct 25, 2020	image-classificationImage Classification	—Unverified
Boosting Gradient for White-Box Adversarial Attacks	Oct 21, 2020	Blockingimage-classification	—Unverified
An Empirical Study of Adder Neural Networks for Object Detection	Dec 27, 2021	Autonomous DrivingFace Detection	—Unverified

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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