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

Showing 91519175 of 10420 papers

TitleStatusHype
Directional Label Diffusion Model for Learning from Noisy LabelsCode0
Multi-Dimensional Ability Diagnosis for Machine Learning AlgorithmsCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Multidimensional Belief Quantification for Label-Efficient Meta-LearningCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
A self-interpretable module for deep image classification on small dataCode0
Cell image classification: a comparative overviewCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
DiracNets: Training Very Deep Neural Networks Without Skip-ConnectionsCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Robust Training in High Dimensions via Block Coordinate Geometric Median DescentCode0
Dimensionality-Driven Learning with Noisy LabelsCode0
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial TrainingCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
A second-order-like optimizer with adaptive gradient scaling for deep learningCode0
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised LearningCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and RetrainingCode0
A Scalable Quantum Non-local Neural Network for Image ClassificationCode0
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search SpaceCode0
Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural networkCode0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
Network DeconvolutionCode0
Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic InferenceCode0
Perceptual Gradient NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified