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 29712980 of 10420 papers

TitleStatusHype
Ensembles of feedforward-designed convolutional neural networks0
A New Compensatory Genetic Algorithm-Based Method for Effective Compressed Multi-function Convolutional Neural Network Model Selection with Multi-Objective Optimization0
Broad Adversarial Training with Data Augmentation in the Output Space0
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks0
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation0
Ensemble Soft-Margin Softmax Loss for Image Classification0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers0
Enrich the content of the image Using Context-Aware Copy Paste0
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks0
Ensemble learning of diffractive optical networks0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified