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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9601–9650 of 10420 papers

TitleStatusHype
Between-class Learning for Image ClassificationCode0
Exploiting Nontrivial Connectivity for Automatic Speech Recognition—0
On the Robustness of Semantic Segmentation Models to Adversarial AttacksCode0
An Introduction to Deep Visual Explanation—0
Context Augmentation for Convolutional Neural Networks—0
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks—0
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial ConvolutionsCode0
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN—0
Tactics to Directly Map CNN graphs on Embedded FPGAsCode0
Using KL-divergence to focus Deep Visual Explanation—0
Zero-Shot Learning via Category-Specific Visual-Semantic Mapping—0
Enhanced Attacks on Defensively Distilled Deep Neural Networks—0
Less-forgetful Learning for Domain Expansion in Deep Neural Networks—0
AOGNets: Compositional Grammatical Architectures for Deep LearningCode0
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy—0
Spectral-spatial classification of hyperspectral images: three tricks and a new supervised learning settingCode0
Saliency-based Sequential Image Attention with Multiset Prediction—0
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification—0
Provably efficient neural network representation for image classification—0
Multi-label Image Recognition by Recurrently Discovering Attentional Regions—0
SIMILARnet: Simultaneous Intelligent Localization and Recognition NetworkCode0
Cortical microcircuits as gated-recurrent neural networks—0
Mitigating Adversarial Effects Through RandomizationCode0
HyperNetworks with statistical filtering for defending adversarial examples—0
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR DataCode0
Adversarial Dropout Regularization—0
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines—0
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques—0
Structured Generative Adversarial NetworksCode0
Learning with Latent LanguageCode0
Hierarchical Representations for Efficient Architecture SearchCode0
Generating Natural Adversarial ExamplesCode0
Countering Adversarial Images using Input TransformationsCode0
Conditional Variance Penalties and Domain Shift RobustnessCode0
Evolving Deep Convolutional Neural Networks for Image ClassificationCode0
A Supervised STDP-based Training Algorithm for Living Neural Networks—0
Multi-level Residual Networks from Dynamical Systems View—0
InterpNET: Neural Introspection for Interpretable Deep LearningCode0
Deep Neural Networks—0
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference—0
Classification Driven Dynamic Image Enhancement—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets—0
Learning to Learn Image Classifiers with Visual Analogy—0
Do Convolutional Neural Networks Learn Class Hierarchy?—0
Pushing the envelope in deep visual recognition for mobile platforms—0
Entanglement Entropy of Target Functions for Image Classification and Convolutional Neural Network—0
Searching for Activation FunctionsCode0
Manifold regularization based on Nyström type subsampling—0
Show:102550
← PrevPage 193 of 209Next →
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