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 84018425 of 10420 papers

TitleStatusHype
The iMaterialist Fashion Attribute DatasetCode0
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification0
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning0
Presence-Only Geographical Priors for Fine-Grained Image ClassificationCode1
Continual and Multi-Task Architecture SearchCode0
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesCode0
Indoor image representation by high-level semantic features0
Band Attention Convolutional Networks For Hyperspectral Image Classification0
Simultaneously Learning Architectures and Features of Deep Neural Networks0
Weight Agnostic Neural NetworksCode0
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition0
Zero-Shot Image Classification Using Coupled Dictionary Embedding0
SymNet: Symmetrical Filters in Convolutional Neural Networks0
CNN depth analysis with different channel inputs for Acoustic Scene Classification0
BDNet: Bengali Handwritten Numeral Digit Recognition based on Densely connected Convolutional Neural NetworksCode0
A Closed-Form Learned Pooling for Deep Classification Networks0
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification0
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification0
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification0
A New Compensatory Genetic Algorithm-Based Method for Effective Compressed Multi-function Convolutional Neural Network Model Selection with Multi-Objective Optimization0
DiCENet: Dimension-wise Convolutions for Efficient NetworksCode0
Using learned optimizers to make models robust to input noise0
Outlier Exposure with Confidence Control for Out-of-Distribution DetectionCode0
Cell image classification: a comparative overviewCode0
TensorNetwork for Machine LearningCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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