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 86768700 of 10420 papers

TitleStatusHype
Conformal Structured PredictionCode0
Neural networks with late-phase weightsCode0
ECINN: Efficient Counterfactuals from Invertible Neural NetworksCode0
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing ImageryCode0
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training AcceleratorsCode0
Meta-Amortized Variational Inference and LearningCode0
EASNet: Searching Elastic and Accurate Network Architecture for Stereo MatchingCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Accurate Explanation Model for Image Classifiers using Class Association EmbeddingCode0
Early-exit deep neural networks for distorted images: providing an efficient edge offloadingCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Confident Multiple Choice LearningCode0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot TasksCode0
QDNN: DNN with Quantum Neural Network LayersCode0
Confidence Estimation Using Unlabeled DataCode0
Meta-CurvatureCode0
Confidence-based Out-of-Distribution Detection: A Comparative Study and AnalysisCode0
Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence ModelsCode0
A Multi-task Supervised Compression Model for Split ComputingCode0
Hierarchically Structured Meta-learningCode0
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image ClassificationCode0
Optimizing Data Usage via Differentiable RewardsCode0
CoNe: Contrast Your Neighbours for Supervised Image ClassificationCode0
Hierarchical Representations for Efficient Architecture SearchCode0
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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