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 32413250 of 10420 papers

TitleStatusHype
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling0
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations0
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification0
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error0
Drift to Remember0
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation0
An Extendable, Efficient and Effective Transformer-based Object Detector0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification0
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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