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 4751–4800 of 10420 papers

TitleStatusHype
ElegansNet: a brief scientific report and initial experiments—0
Robust Neural Architecture Search—0
ImageEye: Batch Image Processing Using Program Synthesis—0
Source-free Domain Adaptation Requires Penalized Diversity—0
Patch-wise Features for Blur Image Classification—0
Efficient CNNs via Passive Filter Pruning—0
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural NetworksCode0
Self-Supervised Siamese Autoencoders—0
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
Context-Aware Classification of Legal Document Pages—0
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning—0
Uncertainty estimation in Deep Learning for Panoptic segmentation—0
Adaptive Ensemble Learning: Boosting Model Performance through Intelligent Feature Fusion in Deep Neural Networks—0
Multi-Class Unlearning for Image Classification via Weight Filtering—0
Learning to Name Classes for Vision and Language Models—0
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature ForgettingCode0
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge—0
CNNs with Multi-Level Attention for Domain Generalization—0
Multimodal Hyperspectral Image Classification via Interconnected Fusion—0
Resolution-Invariant Image Classification based on Fourier Neural OperatorsCode0
Personalized Federated Learning with Local Attention—0
Predictive Heterogeneity: Measures and Applications—0
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification—0
LaCViT: A Label-aware Contrastive Fine-tuning Framework for Vision TransformersCode0
DIME-FM: DIstilling Multimodal and Efficient Foundation Models—0
Benchmarking FedAvg and FedCurv for Image Classification Tasks—0
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch SamplingCode0
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning—0
Towards Understanding the Effect of Pretraining Label Granularity—0
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness—0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification—0
Polarity is all you need to learn and transfer fasterCode0
Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers—0
Automated wildlife image classification: An active learning tool for ecological applicationsCode0
On the Local Cache Update Rules in Streaming Federated Learning—0
Provable Robustness for Streaming Models with a Sliding Window—0
Text-to-Image Diffusion Models are Zero-Shot ClassifiersCode0
Class-Conditioned Transformation for Enhanced Robust Image ClassificationCode0
Learning Expressive Prompting With Residuals for Vision Transformers—0
GeoNet: Benchmarking Unsupervised Adaptation across Geographies—0
Boosting Few-Shot Text Classification via Distribution Estimation—0
Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images -- A Review—0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
Image Moment Invariants to Rotational Motion Blur—0
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images—0
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems—0
PIAT: Parameter Interpolation based Adversarial Training for Image Classification—0
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning—0
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification—0
Show:102550
← PrevPage 96 of 209Next →
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