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 3601–3650 of 10419 papers

TitleStatusHype
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image ClassificationCode1
GENNAPE: Towards Generalized Neural Architecture Performance EstimatorsCode0
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think—0
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
Exploiting Category Names for Few-Shot Classification with Vision-Language Models—0
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification—0
SimCS: Simulation for Domain Incremental Online Continual Segmentation—0
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm—0
Curriculum Temperature for Knowledge DistillationCode1
Entropy-Driven Mixed-Precision Quantization for Deep Network Design—0
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image ClassificationCode0
Establishment of Neural Networks Robust to Label Noise—0
Class Adaptive Network CalibrationCode1
SI-GAT: A method based on improved Graph Attention Network for sonar image classification—0
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations—0
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis—0
Learning to Learn: How to Continuously Teach Humans and Machines—0
RankDNN: Learning to Rank for Few-shot LearningCode1
A Call to Reflect on Evaluation Practices for Failure Detection in Image ClassificationCode1
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity—0
Semantic-Aware Local-Global Vision Transformer—0
A Particle-based Sparse Gaussian Process Optimizer—0
Looking at the posterior: accuracy and uncertainty of neural-network predictions—0
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text LabelsCode2
Cross-Domain Ensemble Distillation for Domain GeneralizationCode1
Differentially Private Image Classification from FeaturesCode0
Relating Regularization and Generalization through the Intrinsic Dimension of Activations—0
Self-Supervised Learning based on Heat Equation—0
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision—0
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational DataCode0
Data Augmentation Vision Transformer for Fine-grained Image Classification—0
AugOp: Inject Transformation into Neural Operator—0
ActMAD: Activation Matching to Align Distributions for Test-Time-TrainingCode1
Word-Level Representation From Bytes For Language Modeling—0
SVFormer: Semi-supervised Video Transformer for Action RecognitionCode1
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
Dynamic Loss For Robust LearningCode0
Rethinking Implicit Neural Representations for Vision Learners—0
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification—0
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models—0
Neural Dependencies Emerging from Learning Massive Categories—0
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models—0
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation—0
Blind Knowledge Distillation for Robust Image ClassificationCode0
Plug and Play Active Learning for Object DetectionCode1
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image ClassificationCode1
R2-MLP: Round-Roll MLP for Multi-View 3D Object RecognitionCode0
Learning to Generate Image Embeddings with User-level Differential Privacy—0
An Algorithm for Routing Vectors in Sequences—0
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks—0
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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