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 7451–7500 of 10420 papers

TitleStatusHype
U^2-Net: Going Deeper with Nested U-Structure for Salient Object DetectionCode3
Translating Video Recordings of Mobile App Usages into Replayable Scenarios—0
Cross-filter compression for CNN inference acceleration—0
Neural Networks for Fashion Image Classification and Visual SearchCode0
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks—0
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic ProcessorCode1
Universal Adversarial Perturbations: A Survey—0
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention—0
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling ModelCode1
Initializing Perturbations in Multiple Directions for Fast Adversarial Training—0
On Using Transfer Learning For Plant Disease Detection—0
Evolved Explainable Classifications for Lymph Node Metastases—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural NetworkCode0
A New Deep Neural Architecture Search Pipeline for Face Recognition—0
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing—0
One-Shot Recognition of Manufacturing Defects in Steel SurfacesCode1
Neural Architecture TransferCode1
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients—0
Robustness Verification for Classifier Ensembles—0
Train and Deploy an Image Classifier for Disaster Response—0
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices—0
Medical Image Segmentation Using a U-Net type of Architecture—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification—0
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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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