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 7376–7400 of 10420 papers

TitleStatusHype
Principled learning method for Wasserstein distributionally robust optimization with local perturbationsCode1
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Visual Transformers: Token-based Image Representation and Processing for Computer VisionCode1
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite ImageryCode0
Content and Context Features for Scene Image Representation—0
Higher-Order Explanations of Graph Neural Networks via Relevant Walks—0
Weight Pruning via Adaptive Sparsity LossCode1
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis—0
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODECode1
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm—0
Image Classification in the Dark using Quanta Image Sensors—0
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples—0
SmoothMix: A Simple Yet Effective Data Augmentation to Train Robust Classifiers—0
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning—0
Stochastic Classifiers for Unsupervised Domain AdaptationCode1
Probabilistic Structural Latent Representation for Unsupervised EmbeddingCode0
Rethinking Computer-Aided Tuberculosis Diagnosis—0
Polishing Decision-Based Adversarial Noise With a Customized Sampling—0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization—0
Efficient Neural Vision Systems Based on Convolutional Image Acquisition—0
Non-Local Neural Networks With Grouped Bilinear Attentional TransformsCode1
Rotation Equivariant Graph Convolutional Network for Spherical Image ClassificationCode1
ADINet: Attribute Driven Incremental Network for Retinal Image Classification—0
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition—0
Distilling Image Dehazing With Heterogeneous Task ImitationCode0
Show:102550
← PrevPage 296 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