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 2701–2725 of 10420 papers

TitleStatusHype
CLAMP: Contrastive LAnguage Model Prompt-tuning—0
Efficient Deep Representation Learning by Adaptive Latent Space Sampling—0
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning—0
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning—0
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact—0
A Novel Site-Agnostic Multimodal Deep Learning Model to Identify Pro-Eating Disorder Content on Social Media—0
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection—0
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification—0
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning—0
Efficient detection of adversarial images—0
Efficient Document Image Classification Using Region-Based Graph Neural Network—0
Efficient Fully Distributed Federated Learning with Adaptive Local Links—0
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation—0
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images—0
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization—0
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification—0
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
Efficient CNNs via Passive Filter Pruning—0
Churn analysis using deep convolutional neural networks and autoencoders—0
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour—0
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence—0
Efficient Annotation for Medical Image Analysis: A One-Pass Selective Annotation Approach—0
Efficient Computation of Quantized Neural Networks by −1, +1 Encoding Decomposition—0
A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food—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