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 7101–7150 of 10420 papers

TitleStatusHype
Efficient Deep Learning of Non-local Features for Hyperspectral Image ClassificationCode1
Feature Normalized Knowledge Distillation for Image ClassificationCode0
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image ClassificationCode1
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
Fixing Localization Errors to Improve Image ClassificationCode1
Two Stream Active Query Suggestion for Active Learning in Connectomics—0
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning—0
Deep Transferring QuantizationCode1
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation—0
Distilling Visual Priors from Self-Supervised LearningCode1
L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks—0
Learning to Rank for Active Learning: A Listwise Approach—0
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification—0
Out-of-distribution Generalization via Partial Feature Decorrelation—0
Rethinking Recurrent Neural Networks and Other Improvements for Image ClassificationCode1
Learning from Few Samples: A Survey—0
Deep learning for lithological classification of carbonate rock micro-CT images—0
Growing Efficient Deep Networks by Structured Continuous Sparsification—0
flexgrid2vec: Learning Efficient Visual Representations Vectors—0
Dynamic Defense Against Byzantine Poisoning Attacks in Federated LearningCode1
A General Framework For Detecting Anomalous Inputs to DNN ClassifiersCode1
Generative Classifiers as a Basis for Trustworthy Image ClassificationCode1
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases—0
Semi-Supervised Learning with Data Augmentation for End-to-End ASR—0
Towards Learning Convolutions from ScratchCode0
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification—0
MaxDropout: Deep Neural Network Regularization Based on Maximum Output ValuesCode1
Split Computing for Complex Object Detectors: Challenges and Preliminary ResultsCode1
The MAMe Dataset: On the relevance of High Resolution and Variable Shape image propertiesCode1
Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing—0
Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches—0
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality—0
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable ProjectionCode0
Neural networks with late-phase weightsCode0
All-Optical Information Processing Capacity of Diffractive Surfaces—0
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy ImagesCode1
T-BFA: Targeted Bit-Flip Adversarial Weight AttackCode0
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains—0
Deep Network Ensemble Learning applied to Image Classification using CNN TreesCode1
Right for the Right Reason: Making Image Classification Robust—0
DEAL: Deep Evidential Active Learning for Image ClassificationCode1
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning ApproachCode0
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks—0
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture SearchCode1
PDO-eConvs: Partial Differential Operator Based Equivariant ConvolutionsCode1
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic RetinopathyCode0
Generative Hierarchical Features from Synthesizing ImagesCode1
Survey on Deep Learning-based Kuzushiji Recognition—0
A Bag of Visual Words Model for Medical Image Retrieval—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