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 82518275 of 10420 papers

TitleStatusHype
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data RegimesCode0
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image ClassificationCode0
RAIN: A Simple Approach for Robust and Accurate Image Classification NetworksCode0
Rafiki: Machine Learning as an Analytics Service SystemCode0
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud ClassifiersCode0
Extended Bit-Plane Compression for Convolutional Neural Network AcceleratorsCode0
RAFIC: Retrieval-Augmented Few-shot Image ClassificationCode0
Radon cumulative distribution transform subspace modeling for image classificationCode0
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve InterpretabilityCode0
R2-MLP: Round-Roll MLP for Multi-View 3D Object RecognitionCode0
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent PriorsCode0
Quaternion Convolutional Neural NetworksCode0
Exploring Video-Based Driver Activity Recognition under Noisy LabelsCode0
Combined Depth Space based Architecture Search For Person Re-identificationCode0
Are LSTMs Good Few-Shot Learners?Code0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Kernel Density Matrices for Probabilistic Deep LearningCode0
Exploring the Limits of Weakly Supervised PretrainingCode0
ColorNet: Investigating the importance of color spaces for image classificationCode0
Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign ClassificationCode0
ColorNet -- Estimating Colorfulness in Natural ImagesCode0
Adversarial Teacher-Student Representation Learning for Domain GeneralizationCode0
Quantum algorithms for SVD-based data representation and analysisCode0
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
Show:102550
← PrevPage 331 of 417Next →

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