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

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Showing 7351–7400 of 10420 papers

TitleStatusHype
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches—0
VirTex: Learning Visual Representations from Textual AnnotationsCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
Convolutional neural networks compression with low rank and sparse tensor decompositions—0
On Mixup RegularizationCode0
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning—0
Interpolation between Residual and Non-Residual NetworksCode1
Interferometric Graph Transform: a Deep Unsupervised Graph RepresentationCode1
Bombus Species Image Classification—0
The Curious Case of Convex Neural Networks—0
An Overview of Deep Semi-Supervised LearningCode2
On the Effectiveness of Regularization Against Membership Inference Attacks—0
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks—0
Object Segmentation Without Labels with Large-Scale Generative ModelsCode1
Learning to Utilize Correlated Auxiliary Noise: A Possible Quantum Advantage—0
Trade-offs between membership privacy & adversarially robust learning—0
Multi-view Contrastive Learning for Online Knowledge DistillationCode1
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
Self-Supervised Dynamic Networks for Covariate Shift Robustness—0
A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial–Spectral Fusion—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning—0
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural NetworksCode0
Pick-Object-Attack: Type-Specific Adversarial Attack for Object DetectionCode1
Discovering Parametric Activation Functions—0
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
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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