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 7101–7125 of 10420 papers

TitleStatusHype
Efficient Deep Learning of Non-local Features for Hyperspectral Image ClassificationCode1
Feature Normalized Knowledge Distillation for Image ClassificationCode0
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image ClassificationCode1
Fixing Localization Errors to Improve Image ClassificationCode1
Two Stream Active Query Suggestion for Active Learning in Connectomics—0
Deep Transferring QuantizationCode1
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning—0
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation—0
Distilling Visual Priors from Self-Supervised LearningCode1
L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks—0
Learning to Rank for Active Learning: A Listwise Approach—0
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification—0
Rethinking Recurrent Neural Networks and Other Improvements for Image ClassificationCode1
Out-of-distribution Generalization via Partial Feature Decorrelation—0
Learning from Few Samples: A Survey—0
Deep learning for lithological classification of carbonate rock micro-CT images—0
Growing Efficient Deep Networks by Structured Continuous Sparsification—0
flexgrid2vec: Learning Efficient Visual Representations Vectors—0
Dynamic Defense Against Byzantine Poisoning Attacks in Federated LearningCode1
A General Framework For Detecting Anomalous Inputs to DNN ClassifiersCode1
Generative Classifiers as a Basis for Trustworthy Image ClassificationCode1
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases—0
Semi-Supervised Learning with Data Augmentation for End-to-End ASR—0
Towards Learning Convolutions from ScratchCode0
Show:102550
← PrevPage 285 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
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
10RevCol-HTop 1 Accuracy90—Unverified