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 1251–1300 of 10419 papers

TitleStatusHype
Deep Online Probability Aggregation ClusteringCode0
Leveraging Topological Guidance for Improved Knowledge DistillationCode0
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated LearningCode0
Enhanced Long-Tailed Recognition with Contrastive CutMix AugmentationCode0
Explainable Metric Learning for Deflating Data Bias—0
AMD: Automatic Multi-step Distillation of Large-scale Vision Models—0
PDiscoFormer: Relaxing Part Discovery Constraints with Vision TransformersCode1
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and TransportationCode2
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes—0
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification—0
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image AnalysisCode1
LeDNet: Localization-enabled Deep Neural Network for Multi-Label Radiography Image Classification—0
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image ClassificationCode2
A multicategory jet image classification framework using deep neural network—0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers—0
Model Guidance via Explanations Turns Image Classifiers into Segmentation ModelsCode0
Fine-Grained Scene Image Classification with Modality-Agnostic AdapterCode0
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation—0
Spectral Graph Reasoning Network for Hyperspectral Image Classification—0
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis—0
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification—0
Multi-branch CNN and grouping cascade attention for medical image classification—0
CGRclust: Chaos Game Representation for Twin Contrastive Clustering of Unlabelled DNA SequencesCode0
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks—0
Semantic Compositions Enhance Vision-Language Contrastive Learning—0
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuningCode1
Optimized Learning for X-Ray Image Classification for Multi-Class Disease Diagnoses with Accelerated Computing Strategies—0
Scarecrow monitoring system:employing mobilenet ssd for enhanced animal supervision—0
GalLoP: Learning Global and Local Prompts for Vision-Language ModelsCode2
Formal Verification of Deep Neural Networks for Object Detection—0
xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba CounterpartCode3
Rescaling Large Datasets Based on Validation Outcomes of a Pre-trained NetworkCode0
Kolmogorov-Arnold Convolutions: Design Principles and Empirical StudiesCode4
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical ImagesCode1
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent CollaborationCode2
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data RegimesCode0
RepAct: The Re-parameterizable Adaptive Activation FunctionCode0
Instance Temperature Knowledge DistillationCode0
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation—0
Adaptive Stochastic Weight AveragingCode0
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across HeadsCode1
ViT-1.58b: Mobile Vision Transformers in the 1-bit EraCode1
Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention—0
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification—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