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 47764800 of 10420 papers

TitleStatusHype
DIME-FM: DIstilling Multimodal and Efficient Foundation Models0
Benchmarking FedAvg and FedCurv for Image Classification Tasks0
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch SamplingCode0
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning0
Towards Understanding the Effect of Pretraining Label Granularity0
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification0
Polarity is all you need to learn and transfer fasterCode0
Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers0
Automated wildlife image classification: An active learning tool for ecological applicationsCode0
On the Local Cache Update Rules in Streaming Federated Learning0
Provable Robustness for Streaming Models with a Sliding Window0
Text-to-Image Diffusion Models are Zero-Shot ClassifiersCode0
Class-Conditioned Transformation for Enhanced Robust Image ClassificationCode0
Learning Expressive Prompting With Residuals for Vision Transformers0
GeoNet: Benchmarking Unsupervised Adaptation across Geographies0
Boosting Few-Shot Text Classification via Distribution Estimation0
Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images -- A Review0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces0
Image Moment Invariants to Rotational Motion Blur0
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images0
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems0
PIAT: Parameter Interpolation based Adversarial Training for Image Classification0
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning0
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing 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
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
10RevCol-HTop 1 Accuracy90Unverified