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 3301–3350 of 10419 papers

TitleStatusHype
Deep Learning Algorithms for Early Diagnosis of Acute Lymphoblastic Leukemia—0
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification—0
CAMP: Continuous and Adaptive Learning Model in PathologyCode0
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time PointCode0
Open Vocabulary Multi-Label Video Classification—0
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic SystemsCode0
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays OffCode0
GPC: Generative and General Pathology Image Classifier—0
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image ClassificationCode0
Enrich the content of the image Using Context-Aware Copy Paste—0
Local Clustering for Lung Cancer Image Classification via Sparse Solution TechniqueCode0
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification—0
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical—0
FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image ClassificationCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Towards a text-based quantitative and explainable histopathology image analysisCode0
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning FusionCode0
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification—0
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images—0
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches—0
An accurate detection is not all you need to combat label noise in web-noisy datasetsCode0
FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance—0
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
Semantic Compositions Enhance Vision-Language Contrastive Learning—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