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 2801–2825 of 10420 papers

TitleStatusHype
CEC-CNN: A Consecutive Expansion-Contraction Convolutional Network for Very Small Resolution Medical Image Classification—0
A non-discriminatory approach to ethical deep learning—0
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification—0
Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification—0
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management—0
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution—0
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks—0
CC-Loss: Channel Correlation Loss For Image Classification—0
CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination—0
Embedding Deep Networks into Visual Explanations—0
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification—0
Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance—0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network—0
A comparison of dense region detectors for image search and fine-grained classification—0
Embedding Complementary Deep Networks for Image Classification—0
Embedding Label Structures for Fine-Grained Feature Representation—0
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data—0
Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation—0
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection—0
Causally Focused Convolutional Networks Through Minimal Human Guidance—0
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations—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