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 7476–7500 of 10420 papers

TitleStatusHype
A Simple Semi-Supervised Learning Framework for Object DetectionCode1
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Transforming task representations to perform novel tasksCode0
Deep Residual Network based food recognition for enhanced Augmented Reality application—0
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations—0
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images—0
AutoSpeech: Neural Architecture Search for Speaker RecognitionCode1
Wavelet Integrated CNNs for Noise-Robust Image ClassificationCode1
Noisy Differentiable Architecture SearchCode1
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications—0
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors—0
Time Dependence in Non-Autonomous Neural ODEs—0
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration—0
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent BackpropagationCode1
One-Shot Image Classification by Learning to Restore Prototypes—0
LIMEtree: Consistent and Faithful Multi-class ExplanationsCode0
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—0
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition—0
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks—0
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES—0
A Dataset for Troll Classification of TamilMemes—0
Learning from Noisy Labels with Noise Modeling Network—0
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks—0
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification—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
10RevCol-HTop 1 Accuracy90—Unverified