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 7201–7250 of 10420 papers

TitleStatusHype
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study—0
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery—0
Enhancing Neural Training via a Correlated Dynamics Model—0
Classification of Skin Cancer Images using Convolutional Neural Networks—0
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling—0
Superkernel Neural Architecture Search for Image Denoising—0
A Study of BFLOAT16 for Deep Learning Training—0
Frugal Reinforcement-based Active Learning—0
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization—0
Outliers resistant image classification by anomaly detection—0
Efficient Online ML API Selection for Multi-Label Classification Tasks—0
Enhancing Representations through Heterogeneous Self-Supervised Learning—0
Out-of-Distribution Detection for Dermoscopic Image Classification—0
Out-of-distribution detection in satellite image classification—0
Frozen Feature Augmentation for Few-Shot Image Classification—0
Out-Of-Distribution Detection In Unsupervised Continual Learning—0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification—0
A Study for Universal Adversarial Attacks on Texture Recognition—0
A Generalization Theory based on Independent and Task-Identically Distributed Assumption—0
Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer—0
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters—0
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data—0
Overcoming label shift in targeted federated learning—0
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets—0
A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition—0
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
Show:102550
← PrevPage 145 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