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 36763700 of 10420 papers

TitleStatusHype
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning0
Bias-Eliminating Augmentation Learning for Debiased Federated Learning0
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery0
Food Image Classification and Segmentation with Attention-based Multiple Instance Learning0
Fooling a Real Car with Adversarial Traffic Signs0
Evaluating Deep Convolutional Neural Networks for Material Classification0
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning0
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device0
ClickBAIT: Click-based Accelerated Incremental Training of Convolutional Neural Networks0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification0
Detection Booster Training: A detection booster training method for improving the accuracy of classifiers.0
Evaluating Language-biased image classification based on semantic compositionality0
ClickBAIT-v2: Training an Object Detector in Real-Time0
Vera Verto: Multimodal Hijacking Attack0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning0
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks0
Detecting Visually Relevant Sentences for Fine-Grained Classification0
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector0
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification0
Evaluating the Progress of Deep Learning for Visual Relational Concepts0
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer0
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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