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

Showing 18511875 of 10420 papers

TitleStatusHype
Shape Adaptor: A Learnable Resizing ModuleCode1
ResNet50_on_Cifar_100_Without_Transfer_LearningCode1
Efficient Deep Learning of Non-local Features for Hyperspectral Image ClassificationCode1
Distilling Visual Priors from Self-Supervised LearningCode1
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image ClassificationCode1
Fixing Localization Errors to Improve Image ClassificationCode1
Deep Transferring QuantizationCode1
Rethinking Recurrent Neural Networks and Other Improvements for Image ClassificationCode1
Dynamic Defense Against Byzantine Poisoning Attacks in Federated LearningCode1
Generative Classifiers as a Basis for Trustworthy Image ClassificationCode1
A General Framework For Detecting Anomalous Inputs to DNN ClassifiersCode1
MaxDropout: Deep Neural Network Regularization Based on Maximum Output ValuesCode1
The MAMe Dataset: On the relevance of High Resolution and Variable Shape image propertiesCode1
Split Computing for Complex Object Detectors: Challenges and Preliminary ResultsCode1
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy ImagesCode1
Deep Network Ensemble Learning applied to Image Classification using CNN TreesCode1
DEAL: Deep Evidential Active Learning for Image ClassificationCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
Generative Hierarchical Features from Synthesizing ImagesCode1
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture SearchCode1
PDO-eConvs: Partial Differential Operator Based Equivariant ConvolutionsCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
OnlineAugment: Online Data Augmentation with Less Domain KnowledgeCode1
On Robustness and Transferability of Convolutional Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified