SOTAVerified

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

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Showing 2851–2875 of 10420 papers

TitleStatusHype
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods—0
End-to-end optimized image compression for multiple machine tasks—0
An Introduction to Deep Visual Explanation—0
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer—0
CapsuleRRT: Relationships-Aware Regression Tracking via Capsules—0
An Introduction to Deep Morphological Networks—0
3D Dense Separated Convolution Module for Volumetric Image Analysis—0
End-to-end training of deep kernel map networks for image classification—0
Energy-constrained Self-training for Unsupervised Domain Adaptation—0
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning—0
Dual-Activated Lightweight Attention ResNet50 for Automatic Histopathology Breast Cancer Image Classification—0
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study—0
Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios—0
Capsule Network is Not More Robust than Convolutional Network—0
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors—0
An Interpretive Constrained Linear Model for ResNet and MgNet—0
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift—0
CapsNet comparative performance evaluation for image classification—0
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks—0
An interpretation of the final fully connected layer—0
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
Encoders and Ensembles for Task-Free Continual Learning—0
Endoscopy Classification Model Using Swin Transformer and Saliency Map—0
Can We Infer Confidential Properties of Training Data from LLMs?—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified