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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3651–3700 of 10420 papers

TitleStatusHype
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks—0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
Developing a Recommendation Benchmark for MLPerf Training and Inference—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
DetNet: Design Backbone for Object Detection—0
Bias mitigation techniques in image classification: fair machine learning in human heritage collections—0
A Closed-Form Learned Pooling for Deep Classification Networks—0
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach—0
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation—0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies—0
Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images—0
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance—0
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification—0
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification—0
Class Subset Selection for Transfer Learning using Submodularity—0
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset—0
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
Formal Verification of Deep Neural Networks for Object Detection—0
Class-Wise Principal Component Analysis for hyperspectral image feature extraction—0
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism—0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning—0
Bias-Eliminating Augmentation Learning for Debiased Federated Learning—0
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane—0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery—0
Food Image Classification and Segmentation with Attention-based Multiple Instance Learning—0
Fooling a Real Car with Adversarial Traffic Signs—0
Evaluating Deep Convolutional Neural Networks for Material Classification—0
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning—0
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device—0
ClickBAIT: Click-based Accelerated Incremental Training of Convolutional Neural Networks—0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification—0
Detection Booster Training: A detection booster training method for improving the accuracy of classifiers.—0
Evaluating Language-biased image classification based on semantic compositionality—0
ClickBAIT-v2: Training an Object Detector in Real-Time—0
Vera Verto: Multimodal Hijacking Attack—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications—0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks—0
Detecting Visually Relevant Sentences for Fine-Grained Classification—0
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector—0
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification—0
Evaluating the Progress of Deep Learning for Visual Relational Concepts—0
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks—0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified