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 81268150 of 10420 papers

TitleStatusHype
What's Hidden in a Randomly Weighted Neural Network?Code0
Deep Object Co-segmentation via Spatial-Semantic Network ModulationCode0
Towards Oracle Knowledge Distillation with Neural Architecture Search0
The Weighted Tsetlin Machine: Compressed Representations with Weighted ClausesCode0
A Generalization Theory based on Independent and Task-Identically Distributed Assumption0
Orthogonal Convolutional Neural NetworksCode0
Decision Propagation Networks for Image Classification0
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities0
Deep Learning with Gaussian Differential PrivacyCode0
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information EstimatorCode0
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial ExamplesCode0
PlantDoc: A Dataset for Visual Plant Disease DetectionCode0
Constrained Linear Data-feature Mapping for Image ClassificationCode0
Federated Learning with Bayesian Differential Privacy0
Optimizing Data Usage via Differentiable RewardsCode0
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion ReductionCode0
Attack Agnostic Statistical Method for Adversarial Detection0
Rethinking Normalization and Elimination Singularity in Neural NetworksCode0
Regularizing Neural Networks by Stochastically Training Layer EnsemblesCode0
Quantization NetworksCode0
Adversarial Examples Improve Image RecognitionCode0
Classification-driven Single Image Dehazing0
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble TransformationsCode0
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks0
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural ArchitectureCode0
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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