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 7226–7250 of 10420 papers

TitleStatusHype
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks—0
Overhead-MNIST: Machine Learning Baselines for Image Classification—0
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA—0
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization—0
Over-parameterization: A Necessary Condition for Models that Extrapolate—0
Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks—0
From visual words to a visual grammar: using language modelling for image classification—0
Overview: Computer vision and machine learning for microstructural characterization and analysis—0
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models—0
A Structurally Regularized CNN Architecture via Adaptive Subband Decomposition—0
A block coordinate descent optimizer for classification problems exploiting convexity—0
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification—0
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs—0
A General Framework for Multi-focal Image Classification and Authentication: Application to Microscope Pollen Images—0
Packed-Ensembles for Efficient Uncertainty Estimation—0
Person Re-identification: Past, Present and Future—0
PAC Synthesis of Machine Learning Programs—0
Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example—0
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels—0
From pixels to planning: scale-free active inference—0
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks—0
A Strong Inductive Bias: Gzip for binary image classification—0
From Online Behaviours to Images: A Novel Approach to Social Bot Detection—0
PaLI: A Jointly-Scaled Multilingual Language-Image Model—0
From Maxout to Channel-Out: Encoding Information on Sparse Pathways—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