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 4501–4550 of 10420 papers

TitleStatusHype
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks—0
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance—0
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think—0
Deepfake Video Forensics based on Transfer Learning—0
Adaptive Dataset Sampling by Deep Policy Gradient—0
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks—0
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network—0
Image Labeling on a Network: Using Social-Network Metadata for Image Classification—0
A Study on Transformer Configuration and Training Objective—0
Deep Epitomic Convolutional Neural Networks—0
Altogether: Image Captioning via Re-aligning Alt-text—0
A Machine-Synesthetic Approach To DDoS Network Attack Detection—0
Deep Ensembles for Low-Data Transfer Learning—0
Adaptive Data Augmentation with Deep Parallel Generative Models—0
Image edge enhancement for effective image classification—0
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles—0
Deep Ensemble Bayesian Active Learning : Adressing the Mode Collapse issue in Monte Carlo dropout via Ensembles—0
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation—0
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers—0
Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading—0
ImageEye: Batch Image Processing Using Program Synthesis—0
Image Matters: Scalable Detection of Offensive and Non-Compliant Content / Logo in Product Images—0
Image Recognition using Region Creep—0
Deep Elastic Networks with Model Selection for Multi-Task Learning—0
Auxiliary Learning by Implicit Differentiation—0
Alternating Multi-bit Quantization for Recurrent Neural Networks—0
Deep Domain Generalization with Feature-norm Network—0
Deep Discriminative Learning for Unsupervised Domain Adaptation—0
Auxiliary Image Regularization for Deep CNNs with Noisy Labels—0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Deep Dependency Networks for Multi-Label Classification—0
Auxiliary Class Based Multiple Choice Learning—0
Deep Degradation Prior for Low-Quality Image Classification—0
Deep Decision Network for Multi-Class Image Classification—0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception—0
Image Credibility Analysis with Effective Domain Transferred Deep Networks—0
Deep Curriculum Learning for PolSAR Image Classification—0
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning—0
Auto-view contrastive learning for few-shot image recognition—0
Auto-tuning TensorFlow Threading Model for CPU Backend—0
Image Colorization Using a Deep Convolutional Neural Network—0
Deep Convolutional Spiking Neural Networks for Image Classification—0
Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image Classification—0
Image Colorization By Capsule Networks—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Image Data Augmentation for Deep Learning: A Survey—0
AutoSampling: Search for Effective Data Sampling Schedules—0
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Show:102550
← PrevPage 91 of 209Next →
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