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 3501–3550 of 10419 papers

TitleStatusHype
Embedding Complementary Deep Networks for Image Classification—0
Embedding Deep Networks into Visual Explanations—0
An Automated CNN Recommendation System for Image Classification Tasks—0
A Dataset for Troll Classification of TamilMemes—0
Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification—0
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization—0
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning—0
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks—0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation—0
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models—0
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation—0
Emergence of Fixational and Saccadic Movements in a Multi-Level Recurrent Attention Model for Vision—0
big.LITTLE Vision Transformer for Efficient Visual Recognition—0
AED: An black-box NLP classifier model attacker—0
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images—0
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision—0
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation—0
A Multi-stage Transfer Learning Framework for Diabetic Retinopathy Grading on Small Data—0
EMP: Enhance Memory in Data Pruning—0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
Empirical Perspectives on One-Shot Semi-supervised Learning—0
Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n^2)-type of Risk Bounds—0
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning—0
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution—0
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
An Attention Module for Convolutional Neural Networks—0
Few-shot Image Classification with Multi-Facet Prototypes—0
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems—0
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning—0
Few-shot Learning for Domain-specific Fine-grained Image Classification—0
Few-Shot Non-Parametric Learning with Deep Latent Variable Model—0
Encoder Based Lifelong Learning—0
FIXED: Frustratingly Easy Domain Generalization with Mixup—0
Encoders and Ensembles for Task-Free Continual Learning—0
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift—0
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning—0
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors—0
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting—0
Anatomy-specific classification of medical images using deep convolutional nets—0
Few-Shot Image Classification Along Sparse Graphs—0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—0
An Artificial Neural Network for Image Classification Inspired by Aversive Olfactory Learning Circuits in Caenorhabditis Elegans—0
End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification—0
Development Of A Fire Detection System On Satellite Images—0
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning—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