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 9401–9450 of 10420 papers

TitleStatusHype
RMDL: Random Multimodel Deep Learning for ClassificationCode0
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images—0
Exploring the Limits of Weakly Supervised PretrainingCode0
Structured Analysis Dictionary Learning for Image ClassificationCode0
Unsupervised Learning using Pretrained CNN and Associative Memory Bank—0
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation—0
The Effects of Unimodal Representation Choices on Multimodal Learning—0
Using Adversarial Examples in Natural Language Processing—0
Incorporating Semantic Attention in Video Description Generation—0
Augmenting Image Question Answering Dataset by Exploiting Image Captions—0
Polish Corpus of Annotated Descriptions of Images—0
Adversarially Robust Generalization Requires More Data—0
Towards Deeper Generative Architectures for GANs using Dense connections—0
CRAM: Clued Recurrent Attention Model—0
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification—0
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification—0
Progressive Neural Networks for Image Classification—0
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks—0
Study of Residual Networks for Image Recognition—0
Visibility graphs for image processing—0
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification—0
Robustness via Deep Low-Rank Representations—0
DetNet: A Backbone network for Object DetectionCode0
Neural Compatibility Modeling with Attentive Knowledge Distillation—0
Rafiki: Machine Learning as an Analytics Service SystemCode0
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object DetectorCode0
SparseNet: A Sparse DenseNet for Image Classification—0
Deep Neural Networks Motivated by Partial Differential EquationsCode0
Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation—0
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs—0
Deep Learning For Computer Vision Tasks: A review—0
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of MultipliersCode0
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification—0
AMNet: Memorability Estimation with AttentionCode0
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile ApplicationsCode0
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks—0
Ordinal Pooling Networks: For Preserving Information over Shrinking Feature MapsCode0
Learn To Pay AttentionCode0
The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional LogicCode0
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection—0
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification—0
The Structure Transfer Machine Theory and ApplicationsCode0
In-depth Question classification using Convolutional Neural Networks—0
Compare and Contrast: Learning Prominent Visual Differences—0
Joint Optimization Framework for Learning with Noisy LabelsCode0
Parallel Grid Pooling for Data AugmentationCode0
Hierarchical Transfer Convolutional Neural Networks for Image Classification—0
Class Subset Selection for Transfer Learning using Submodularity—0
Fast Parametric Learning with Activation Memorization—0
Canonical Correlation Analysis of Datasets with a Common Source Graph—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