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 2326–2350 of 10420 papers

TitleStatusHype
CORL: Compositional Representation Learning for Few-Shot Classification—0
Comparison of Update and Genetic Training Algorithms in a Memristor Crossbar Perceptron—0
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification—0
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning—0
Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection—0
Comparison of Methods Generalizing Max- and Average-Pooling—0
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness—0
Comparison of fine-tuning strategies for transfer learning in medical image classification—0
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification—0
Arithmetic Intensity Balancing Convolution for Hardware-aware Efficient Block Design—0
A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification—0
A baseline on continual learning methods for video action recognition—0
Discovering Parametric Activation Functions—0
A convex method for classification of groups of examples—0
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification—0
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images—0
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions—0
DISCO: Distributed Inference with Sparse Communications—0
Comparing concepts of quantum and classical neural network models for image classification task—0
Arguments for the Unsuitability of Convolutional Neural Networks for Non--Local Tasks—0
Compare and Contrast: Learning Prominent Visual Differences—0
Comparator Networks—0
A fast and Accurate Similarity-constrained Subspace Clustering Framework for Unsupervised Hyperspectral Image Classification—0
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks—0
Comparative Study on Generative Adversarial Networks—0
Show:102550
← PrevPage 94 of 417Next →
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