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

Showing 43764400 of 10420 papers

TitleStatusHype
Balance Divergence for Knowledge Distillation0
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network0
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field0
HyperSTAR: Task-Aware Hyperparameters for Deep Networks0
Image Classification using CNN for Traffic Signs in Pakistan0
Deep Learning Solutions for TanDEM-X-based Forest Classification0
Deep Learning Reproducibility and Explainable AI (XAI)0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval0
Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset0
Amortized Proximal Optimization0
Deep learning pipeline for image classification on mobile phones0
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks0
Bag of Tricks with Quantized Convolutional Neural Networks for image classification0
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children0
Deep Learning is Robust to Massive Label Noise0
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution0
Deep Learning in the Automotive Industry: Applications and Tools0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images0
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks0
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data0
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios0
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations0
Deep Learning: Generalization Requires Deep Compositional Feature Space Design0
Deep Learning Generalization, Extrapolation, and Over-parameterization0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified