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 93519375 of 10420 papers

TitleStatusHype
DetNet: A Backbone network for Object DetectionCode0
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 Classification0
Deep Neural Networks Motivated by Partial Differential EquationsCode0
Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation0
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs0
Deep Learning For Computer Vision Tasks: A review0
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification0
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of MultipliersCode0
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks0
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentationCode1
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile ApplicationsCode0
AMNet: Memorability Estimation with AttentionCode0
Ordinal Pooling Networks: For Preserving Information over Shrinking Feature MapsCode0
Learn To Pay AttentionCode0
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection0
The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional LogicCode0
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification0
The Structure Transfer Machine Theory and ApplicationsCode0
In-depth Question classification using Convolutional Neural Networks0
Compare and Contrast: Learning Prominent Visual Differences0
Class Subset Selection for Transfer Learning using Submodularity0
Joint Optimization Framework for Learning with Noisy LabelsCode0
Parallel Grid Pooling for Data AugmentationCode0
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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
10RevCol-HTop 1 Accuracy90Unverified