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 34763500 of 10420 papers

TitleStatusHype
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network0
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches0
Efficient Super Resolution Using Binarized Neural Network0
Efficient Transformations in Deep Learning Convolutional Neural Networks0
BI-MAML: Balanced Incremental Approach for Meta Learning0
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations0
Diagnosing Convolutional Neural Networks using their Spectral Response0
Federated Multi-Target Domain Adaptation0
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data0
An Automated Deep Learning Approach for Bacterial Image Classification0
Diabetic retinopathy image classification method based on GreenBen data augmentation0
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem0
An Automated CNN Recommendation System for Image Classification Tasks0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks0
A Dataset for Troll Classification of TamilMemes0
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision0
Federated Variational Inference: Towards Improved Personalization and Generalization0
big.LITTLE Vision Transformer for Efficient Visual Recognition0
AED: An black-box NLP classifier model attacker0
Federated Learning with Privacy-Preserving Ensemble Attention Distillation0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning0
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval0
A Dataset and Benchmarks for Multimedia Social Analysis0
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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