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 5026–5050 of 10420 papers

TitleStatusHype
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification—0
Conditional Classification: A Solution for Computational Energy Reduction—0
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks—0
Utilizing Dependence among Variables in Evolutionary Algorithms for Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization—0
A 4D Light-Field Dataset and CNN Architectures for Material Recognition—0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
Evo-NAS: Evolutionary-Neural Hybrid Agent for Architecture Search—0
Evolving parametrized Loss for Image Classification Learning on Small Datasets—0
Evolving Efficient CNN Based Model for Image Classification—0
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification—0
Adversarial Incremental Learning—0
Evolving Character-Level DenseNet Architectures using Genetic Programming—0
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield—0
Evolved Part Masking for Self-Supervised Learning—0
Cloud Adversarial Example Generation for Remote Sensing Image Classification—0
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy—0
Evolved Explainable Classifications for Lymph Node Metastases—0
Evolution of active categorical image classification via saccadic eye movement—0
Evolution of Activation Functions for Deep Learning-Based Image Classification—0
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification—0
Close Yet Distinctive Domain Adaptation—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding—0
Evolutionary-Neural Hybrid Agents for Architecture Search—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified