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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2901–2925 of 10420 papers

TitleStatusHype
A Dot Product Attention Free Transformer—0
Camera Bias in a Fine Grained Classification Task—0
Enhancing Fine-grained Image Classification through Attentive Batch Training—0
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection—0
An image segmentation algorithm for measurement of flotation froth bubble size distributions—0
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models—0
Enhancing Instance-Level Image Classification with Set-Level Labels—0
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication—0
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging—0
Boldness-Recalibration for Binary Event Predictions—0
Calibrating Histopathology Image Classifiers using Label Smoothing—0
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning—0
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems—0
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning—0
An Extendable, Efficient and Effective Transformer-based Object Detector—0
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification—0
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images—0
Dual-Activated Lightweight Attention ResNet50 for Automatic Histopathology Breast Cancer Image Classification—0
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum—0
CageViT: Convolutional Activation Guided Efficient Vision Transformer—0
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography—0
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration—0
CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge—0
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks—0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified