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 3701–3750 of 10420 papers

TitleStatusHype
2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach—0
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers—0
From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web—0
From images in the wild to video-informed image classification—0
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval—0
Evaluation of Deep Learning on an Abstract Image Classification Dataset—0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning—0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning—0
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks—0
Bias-Eliminating Augmentation Learning for Debiased Federated Learning—0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery—0
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling—0
Event-Based Control for Online Training of Neural Networks—0
Evidence-empowered Transfer Learning for Alzheimer's Disease—0
Evidential Federated Learning for Skin Lesion Image Classification—0
From Artificial Intelligence to Brain Intelligence: The basis learning and memory algorithm for brain-like intelligence—0
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning—0
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device—0
Evolutionary Cell Aided Design for Neural Network Architectures—0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification—0
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction—0
Evolutionary Neural Architecture Search for Image Restoration—0
Detection Booster Training: A detection booster training method for improving the accuracy of classifiers.—0
Evolutionary-Neural Hybrid Agents for Architecture Search—0
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Evolution of Activation Functions for Deep Learning-Based Image Classification—0
Evolution of active categorical image classification via saccadic eye movement—0
Evolved Explainable Classifications for Lymph Node Metastases—0
Evolved Part Masking for Self-Supervised Learning—0
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications—0
Evolving Character-Level DenseNet Architectures using Genetic Programming—0
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield—0
Detecting Visually Relevant Sentences for Fine-Grained Classification—0
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector—0
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification—0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer—0
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants—0
Frequency Dropout: Feature-Level Regularization via Randomized Filtering—0
Detecting Overfitting via Adversarial Examples—0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
An Analysis of Pre-Training on Object Detection—0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training—0
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks—0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Detecting Novelties with Empty Classes—0
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification—0
Exemplar-free Online Continual Learning—0
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis—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