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 3026–3050 of 10420 papers

TitleStatusHype
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme—0
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification—0
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification—0
A Deep Convolutional Neural Network Applied to Ship Detection and Classification—0
Evaluation of Confidence-based Ensembling in Deep Learning Image Classification—0
Boosting Video Captioning with Dynamic Loss Network—0
An Encryption Method of ConvMixer Models without Performance Degradation—0
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification—0
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification—0
Evaluating the Progress of Deep Learning for Visual Relational Concepts—0
Adaptive Gradient Clipping for Robust Federated Learning—0
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data—0
An empirical study of the relation between network architecture and complexity—0
Boosting Network Weight Separability via Feed-Backward Reconstruction—0
A Novel Multi-Attention Driven System For Multi-Label Remote Sensing Image Classification—0
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task—0
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks—0
Boosting Medical Image Classification with Segmentation Foundation Model—0
An empirical study of pretrained representations for few-shot classification—0
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning—0
Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach—0
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models—0
An empirical study of domain-agnostic semi-supervised learning via energy-based models: joint-training and pre-training—0
Boosting Gradient for White-Box Adversarial Attacks—0
An Empirical Study of Adder Neural Networks for Object Detection—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