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 9576–9600 of 10420 papers

TitleStatusHype
Predicting Yelp Star Reviews Based on Network Structure with Deep LearningCode0
StrassenNets: Deep Learning with a Multiplication BudgetCode0
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image ClassificationCode0
Gradient Normalization & Depth Based Decay For Deep Learning—0
Defense against Adversarial Attacks Using High-Level Representation Guided DenoiserCode0
Basic Thresholding Classification—0
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing—0
In-Place Activated BatchNorm for Memory-Optimized Training of DNNsCode0
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed TrainingCode0
Deep Gradient Compression Reduce the Communication Bandwidth For distributed TraningCode0
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep LearningCode0
Successive Embedding and Classification Loss for Aerial Image ClassificationCode0
What's in my closet?: Image classification using fuzzy logic—0
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root NormalizationCode0
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures—0
Fuzzy-Based Dialectical Non-Supervised Image Classification and Clustering—0
Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões—0
Progressive Neural Architecture SearchCode0
Learning to Model the Tail—0
Improving End-to-End Memory Networks with Unified Weight Tying—0
Gated Recurrent Convolution Neural Network for OCRCode0
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases—0
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)Code0
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial NetworksCode0
Spatially-Adaptive Filter Units for Deep Neural NetworksCode0
Show:102550
← PrevPage 384 of 417Next →
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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified