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 7101–7150 of 10420 papers

TitleStatusHype
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
Kernel Methods in Hyperbolic Spaces—0
BAFFLE: TOWARDS RESOLVING FEDERATED LEARNING’S DILEMMA - THWARTING BACKDOOR AND INFERENCE ATTACKS—0
Quantifying Task Complexity Through Generalized Information Measures—0
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces—0
The simpler the better: vanilla sgd revisited—0
Adaptive Dataset Sampling by Deep Policy Gradient—0
Improving the accuracy of neural networks in analog computing-in-memory systems by a generalized quantization method—0
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search SpaceCode0
Auto-view contrastive learning for few-shot image recognition—0
P-Swish: Activation Function with Learnable Parameters Based on Swish Activation Function in Deep Learning—0
Robust early-learning: Hindering the memorization of noisy labels—0
A Unified Framework to Analyze and Design the Nonlocal Blocks for Neural Networks—0
Protecting DNNs from Theft using an Ensemble of Diverse Models—0
AC-VAE: Learning Semantic Representation with VAE for Adaptive Clustering—0
Graph Structural Aggregation for Explainable Learning—0
ROMUL: Scale Adaptative Population Based Training—0
Counterfactual Thinking for Long-tailed Information Extraction—0
Active Learning Under Malicious Mislabeling and Poisoning Attacks—0
A Gradient-based Kernel Approach for Efficient Network Architecture Search—0
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and MoreCode0
General Adversarial Defense via Pixel Level and Feature Level Distribution Alignment—0
Context-Agnostic Learning Using Synthetic Data—0
Constructing Multiple High-Quality Deep Neural Networks: A TRUST-TECH Based Approach—0
Towards Practical Second Order Optimization for Deep Learning—0
Conditional Networks—0
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and ClassificationCode0
MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis—0
Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization—0
Automatic Detection and Image Recognition of Precision Agriculture for Citrus Diseases—0
Deep Visual Domain Adaptation—0
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19—0
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniquesCode0
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification—0
Coarse to Fine: Multi-label Image Classification with Global/Local Attention—0
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks—0
CNNs for JPEGs: A Study in Computational Cost—0
Mixed-Privacy Forgetting in Deep Networks—0
Learning from Crowds by Modeling Common ConfusionsCode0
Coarse-to-Fine Object Tracking Using Deep Features and Correlation FiltersCode0
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels?—0
A Survey on Visual Transformer—0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images—0
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease—0
LQF: Linear Quadratic Fine-Tuning—0
ResizeMix: Mixing Data with Preserved Object Information and True Labels—0
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such AttacksCode0
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks—0
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks—0
Show:102550
← PrevPage 143 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