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

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Showing 6451–6475 of 10420 papers

TitleStatusHype
Mixup Without HesitationCode1
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image ClassificationCode0
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android AppsCode1
Explaining the Black-box Smoothly- A Counterfactual Approach—0
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video—0
RepVGG: Making VGG-style ConvNets Great AgainCode2
Spherical Transformer: Adapting Spherical Signal to CNNs—0
Resolution-Based Distillation for Efficient Histology Image Classification—0
Quantum Tensor Network in Machine Learning: An Application to Tiny Object ClassificationCode1
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification—0
Combining pretrained CNN feature extractors to enhance clustering of complex natural images—0
Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine LearningCode0
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural NetworksCode0
Self Supervision for Attention NetworksCode0
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image ClassificationCode0
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks—0
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann MachinesCode0
Recommending Accurate and Diverse Items Using Bilateral Branch Network—0
Transformers in Vision: A Survey—0
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning—0
RegNet: Self-Regulated Network for Image ClassificationCode4
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple ClassifierCode1
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models—0
A multi-modal approach towards mining social media data during natural disasters -- a case study of Hurricane Irma—0
Co2L: Contrastive Continual LearningCode1
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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