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 4901–4950 of 10420 papers

TitleStatusHype
Data downlink prioritization using image classification on-board a 6U CubeSat—0
A Unified Scheme of ResNet and Softmax—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Identification of Cervical Pathology using Adversarial Neural Networks—0
Identification of Seed Cells in Multispectral Images for GrowCut Segmentation—0
Time-Varying Propensity Score to Bridge the Gap between the Past and Present—0
Identify Apple Leaf Diseases Using Deep Learning Algorithm—0
Data Dropout: Optimizing Training Data for Convolutional Neural Networks—0
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction—0
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning—0
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning—0
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder—0
Identifying regions of interest in whole slide images of renal cell carcinoma—0
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning—0
HQViT: Hybrid Quantum Vision Transformer for Image Classification—0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
ALA: Naturalness-aware Adversarial Lightness Attack—0
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components—0
iFlood: A Stable and Effective Regularizer—0
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision—0
Dense Depth Distillation with Out-of-Distribution Simulated Images—0
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
¶ILCRO: Making Importance Landscapes Flat Again—0
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales—0
Illuminated Decision Trees with Lucid—0
How Training Data Affect the Accuracy and Robustness of Neural Networks for Image Classification—0
Augmentation Policy Generation for Image Classification Using Large Language Models—0
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models—0
Image Analysis Based on Nonnegative/Binary Matrix Factorization—0
Interpolation between CNNs and ResNets—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Augmentation Inside the Network—0
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms—0
Interleaving Learning, with Application to Neural Architecture Search—0
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning—0
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM—0
Image-Based Feature Representation for Insider Threat Classification—0
Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms—0
Image BERT Pre-training with Online Tokenizer—0
AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance—0
Image Captioners Sometimes Tell More Than Images They See—0
Image Classification and Retrieval from User-Supplied Tags—0
Data Representation using the Weyl Transform—0
Image Classification at Supercomputer Scale—0
Image Classification Based on Quantum KNN Algorithm—0
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise—0
Image Classification base on PCA of Multi-view Deep Representation—0
How to distribute data across tasks for meta-learning?—0
A Kolmogorov Complexity Approach to Generalization in Deep Learning—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