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 3326–3350 of 10420 papers

TitleStatusHype
Learning to Adapt Category Consistent Meta-Feature of CLIP for Few-Shot Classification—0
Evaluating the Fairness of Neural Collapse in Medical Image Classification—0
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label NoiseCode0
Leveraging Topological Guidance for Improved Knowledge DistillationCode0
Deep Online Probability Aggregation ClusteringCode0
Enhanced Long-Tailed Recognition with Contrastive CutMix AugmentationCode0
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated LearningCode0
Explainable Metric Learning for Deflating Data Bias—0
AMD: Automatic Multi-step Distillation of Large-scale Vision Models—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
LeDNet: Localization-enabled Deep Neural Network for Multi-Label Radiography Image Classification—0
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification—0
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case—0
Model Guidance via Explanations Turns Image Classifiers into Segmentation ModelsCode0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers—0
Fine-Grained Scene Image Classification with Modality-Agnostic AdapterCode0
A multicategory jet image classification framework using deep neural network—0
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation—0
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification—0
Spectral Graph Reasoning Network for Hyperspectral Image Classification—0
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis—0
Scarecrow monitoring system:employing mobilenet ssd for enhanced animal supervision—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
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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