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 7751–7800 of 10420 papers

TitleStatusHype
Privacy-Preserving Image Classification in the Local Setting—0
Learning efficient structured dictionary for image classification—0
Convolutional Neural Network Pruning Using Filter Attenuation—0
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification—0
CIFAR-10 Image Classification Using Feature EnsemblesCode0
RAID: Randomized Adversarial-Input Detection for Neural Networks—0
Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network—0
Subspace Capsule NetworkCode1
Impact of ImageNet Model Selection on Domain AdaptationCode0
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs—0
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study—0
Analyzing the Dependency of ConvNets on Spatial Information—0
Machine Learning Techniques to Detect and Characterise Whistler Radio Waves—0
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation—0
Efficient Model for Image Classification With Regularization TricksCode1
AdvJND: Generating Adversarial Examples with Just Noticeable Difference—0
Learning to Detect Malicious Clients for Robust Federated Learning—0
Asymmetric Distribution Measure for Few-shot Learning—0
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task—0
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Post-Training Piecewise Linear Quantization for Deep Neural NetworksCode1
Learn to Predict Sets Using Feed-Forward Neural Networks—0
Adversarial Incremental Learning—0
Non-Determinism in TensorFlow ResNets—0
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme—0
Evaluating the Progress of Deep Learning for Visual Relational Concepts—0
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural NetworksCode1
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space—0
¶ILCRO: Making Importance Landscapes Flat Again—0
Variance Reduction with Sparse Gradients—0
Depthwise-STFT based separable Convolutional Neural Networks—0
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach—0
A Fully Convolutional Normalization Approach of Head and Neck Cancer Outcome Prediction—0
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methodsCode0
No Routing Needed Between CapsulesCode1
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
Optimized Generic Feature Learning for Few-shot Classification across Domains—0
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread—0
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceCode2
Block-wise Scrambled Image Recognition Using Adaptation Network—0
GhostImage: Remote Perception Attacks against Camera-based Image Classification SystemsCode0
batchboost: regularization for stabilizing training with resistance to underfitting & overfittingCode1
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceCode2
Multiplication fusion of sparse and collaborative-competitive representation for image classificationCode0
Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification—0
SlideImages: A Dataset for Educational Image Classification—0
Gradient Surgery for Multi-Task LearningCode1
Harmonic Convolutional Networks based on Discrete Cosine TransformCode1
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural NetworkCode1
Show:102550
← PrevPage 156 of 209Next →
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