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 33413350 of 10420 papers

TitleStatusHype
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers0
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks0
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics0
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification0
SAAL: Sharpness-Aware Active LearningCode1
Language Quantized AutoEncoders: Towards Unsupervised Text-Image AlignmentCode1
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
Continual Learning with Scaled Gradient ProjectionCode1
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting0
On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance0
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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