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 73017325 of 10420 papers

TitleStatusHype
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-190
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction DetectionCode1
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation0
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional NetworksCode0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group SoftmaxCode1
Neural Parameter Allocation SearchCode0
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification0
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
Semi-Supervised Recognition under a Noisy and Fine-grained Dataset0
Sequential Graph Convolutional Network for Active LearningCode1
Enhancing Few-Shot Image Classification with Unlabelled Examples0
Deep Categorization with Semi-Supervised Self-Organizing MapsCode0
A block coordinate descent optimizer for classification problems exploiting convexity0
Constraint-Based Regularization of Neural Networks0
Multi-Subspace Neural Network for Image Recognition0
LSD-C: Linearly Separable Deep ClustersCode1
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification DatasetsCode0
Unsupervised Learning of Visual Features by Contrasting Cluster AssignmentsCode2
Visual and Textual Deep Feature Fusion for Document Image Classification0
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
A Study of Compositional Generalization in Neural Models0
Robust Federated Learning: The Case of Affine Distribution Shifts0
Improving accuracy and speeding up Document Image Classification through parallel systemsCode1
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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