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 68766900 of 10420 papers

TitleStatusHype
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic GraphCode0
Open-sourced Dataset Protection via Backdoor WatermarkingCode1
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray ModelsCode1
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image ClassificationCode1
ByzShield: An Efficient and Robust System for Distributed TrainingCode0
Block-term Tensor Neural Networks0
Regularizing Neural Networks via Adversarial Model PerturbationCode1
Brain-inspired predictive coding dynamics improve the robustness of deep neural networksCode0
Understanding Local Robustness of Deep Neural Networks under Natural VariationsCode0
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization0
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image ClassificationCode1
A Novel ANN Structure for Image Recognition0
Uncertainty-Aware Few-Shot Image Classification0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer0
R-MnasNet: Reduced MnasNet for Computer Vision0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks0
A Fully Tensorized Recurrent Neural NetworkCode1
Interlocking Backpropagation: Improving depthwise model-parallelismCode0
From Artificial Intelligence to Brain Intelligence: The basis learning and memory algorithm for brain-like intelligence0
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images0
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy0
SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification0
Learning Binary Semantic Embedding for Histology Image Classification and RetrievalCode1
Variational Feature Disentangling for Fine-Grained Few-Shot Classification0
A Data Set and a Convolutional Model for Iconography Classification in PaintingsCode1
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified