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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5051–5075 of 10420 papers

TitleStatusHype
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification—0
Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations—0
Adam^+: A Stochastic Method with Adaptive Variance Reduction—0
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding—0
How adversarial attacks can disrupt seemingly stable accurate classifiers—0
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning—0
CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface—0
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications—0
ImpressLearn: Continual Learning via Combined Task Impressions—0
Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching—0
Improved Algorithms for Agnostic Pool-based Active Classification—0
Attribute Recognition by Joint Recurrent Learning of Context and Correlation—0
Hierarchical Auxiliary Learning—0
Joint Learning of Set Cardinality and State Distribution—0
CSIFT Based Locality-constrained Linear Coding for Image Classification—0
Improved EATFormer: A Vision Transformer for Medical Image Classification—0
HOG feature extraction from encrypted images for privacy-preserving machine learning—0
AI visualization in Nanoscale Microscopy—0
Improved Few-Shot Visual Classification—0
Improved Fine-Tuning by Better Leveraging Pre-Training Data—0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach—0
Attribute Prototype Network for Any-Shot Learning—0
Improved Image Classification with Manifold Neural Networks—0
Improved Image Classification with Token Fusion—0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—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