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 9201–9250 of 10420 papers

TitleStatusHype
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification—0
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos—0
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text SpacesCode0
Uncorrelated Feature Encoding for Faster Image Style Transfer—0
Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification—0
Neonatal Pain Expression Recognition Using Transfer Learning—0
Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural NetworksCode0
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays—0
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision—0
Classifying neuromorphic data using a deep learning framework for image classification—0
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition—0
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
D^2: Decentralized Training over Decentralized Data—0
Learning Longer-term Dependencies in RNNs with Auxiliary Losses—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification—0
Fractional Wavelet Scattering Network and Applications—0
A Benchmark for Interpretability Methods in Deep Neural NetworksCode0
This Looks Like That: Deep Learning for Interpretable Image RecognitionCode1
Understanding Dropout as an Optimization Trick—0
Generating Counterfactual Explanations with Natural Language—0
Constructing Deep Neural Networks by Bayesian Network Structure Learning—0
DARTS: Differentiable Architecture SearchCode1
Defending Malware Classification Networks Against Adversarial Perturbations with Non-Negative Weight Restrictions—0
Considerations for a PAP Smear Image Analysis System with CNN Features—0
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters—0
A convex method for classification of groups of examples—0
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures—0
Finding Original Image Of A Sub Image Using CNNs—0
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices—0
Maximally Invariant Data Perturbation as ExplanationCode0
RISE: Randomized Input Sampling for Explanation of Black-box ModelsCode1
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study—0
Recurrent Multiresolution Convolutional Networks for VHR Image Classification—0
Non-Negative Networks Against Adversarial AttacksCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Three dimensional Deep Learning approach for remote sensing image classification—0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network—0
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage—0
Crowd-Powered Data Mining—0
Manifold Mixup: Better Representations by Interpolating Hidden StatesCode1
Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems—0
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-ArtCode0
Knowledge Distillation by On-the-Fly Native EnsembleCode0
Bayesian Model-Agnostic Meta-LearningCode1
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study—0
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization—0
A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle ClassificationCode0
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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