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 87768800 of 10420 papers

TitleStatusHype
GFCN: A New Graph Convolutional Network Based on Parallel Flows0
Visualization, Discriminability and Applications of Interpretable Saak Features0
Image Classification on IoT Edge Devices: Profiling and Modeling0
Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder0
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models0
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelinesCode0
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset0
Wasserstein Adversarial Examples via Projected Sinkhorn IterationsCode1
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
Meta-Weight-Net: Learning an Explicit Mapping For Sample WeightingCode1
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image ClassifiersCode0
Learning with Inadequate and Incorrect Supervision0
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural NetworksCode0
Simplifying Graph Convolutional NetworksCode1
Adaptive Cross-Modal Few-Shot LearningCode0
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization0
Contextual Encoder-Decoder Network for Visual Saliency PredictionCode0
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image ClassificationCode0
Evolutionary Neural AutoML for Deep LearningCode1
Deep Generalized Convolutional Sum-Product NetworksCode0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet0
Bayesian Image Classification with Deep Convolutional Gaussian Processes0
Graph-RISE: Graph-Regularized Image Semantic Embedding0
Transfusion: Understanding Transfer Learning for Medical ImagingCode0
Show:102550
← PrevPage 352 of 417Next →

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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified