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 4351–4400 of 10420 papers

TitleStatusHype
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems—0
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning—0
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification—0
Balancing the Causal Effects in Class-Incremental Learning—0
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network—0
Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution—0
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability—0
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification—0
A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning—0
Hyperspherical embedding for novel class classification—0
Deeply Coupled Auto-encoder Networks for Cross-view Classification—0
Less is more: Selecting informative and diverse subsets with balancing constraints—0
Balancing Average and Worst-case Accuracy in Multitask Learning—0
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer—0
A multicategory jet image classification framework using deep neural network—0
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis—0
Hyperspherical Loss-Aware Ternary Quantization—0
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network—0
Hyperspectral image classification using spectral-spatial LSTMs—0
Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings—0
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network—0
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer—0
CNNs for JPEGs: A Study in Computational Cost—0
Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion—0
Deep Learning Techniques for Geospatial Data Analysis—0
Balance Divergence for Knowledge Distillation—0
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network—0
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples—0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field—0
HyperSTAR: Task-Aware Hyperparameters for Deep Networks—0
Image Classification using CNN for Traffic Signs in Pakistan—0
Deep Learning Solutions for TanDEM-X-based Forest Classification—0
Deep Learning Reproducibility and Explainable AI (XAI)—0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval—0
Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset—0
Amortized Proximal Optimization—0
Deep learning pipeline for image classification on mobile phones—0
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks—0
Bag of Tricks with Quantized Convolutional Neural Networks for image classification—0
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children—0
Deep Learning is Robust to Massive Label Noise—0
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution—0
Deep Learning in the Automotive Industry: Applications and Tools—0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images—0
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks—0
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data—0
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios—0
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations—0
Deep Learning: Generalization Requires Deep Compositional Feature Space Design—0
Deep Learning Generalization, Extrapolation, and Over-parameterization—0
Show:102550
← PrevPage 88 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
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