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 5651–5700 of 10420 papers

TitleStatusHype
Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks—0
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks—0
Object-wise Masked Autoencoders for Fast Pre-training—0
BadDet: Backdoor Attacks on Object DetectionCode0
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning—0
MDMLP: Image Classification from Scratch on Small Datasets with MLPCode0
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning—0
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units—0
X-ViT: High Performance Linear Vision Transformer without Softmax—0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement—0
BagFlip: A Certified Defense against Data PoisoningCode0
TransBoost: Improving the Best ImageNet Performance using Deep TransductionCode0
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition—0
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer—0
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning SystemsCode0
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image ClassificationCode0
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification—0
Privacy-Preserving Image Classification Using Vision Transformer—0
An interpretation of the final fully connected layer—0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments—0
Discriminative Feature Learning through Feature Distance LossCode0
Accurate and Resource-Efficient Lipreading with Efficientnetv2 and Transformers—0
Deep Image Retrieval is not Robust to Label Noise—0
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification—0
CNNs Avoid Curse of Dimensionality by Learning on Patches—0
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey—0
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems—0
Facing the Void: Overcoming Missing Data in Multi-View ImageryCode0
A Study on Transformer Configuration and Training Objective—0
Set-based Meta-Interpolation for Few-Task Meta-Learning—0
PSO-Convolutional Neural Networks with Heterogeneous Learning RateCode0
Deep transfer learning for image classification: a survey—0
Kernel Normalized Convolutional NetworksCode0
Robust Sensible Adversarial Learning of Deep Neural Networks for Image ClassificationCode0
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context—0
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification—0
Incremental Learning with Differentiable Architecture and Forgetting Search—0
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities—0
TRT-ViT: TensorRT-oriented Vision Transformer—0
Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization—0
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer—0
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification—0
Uncertainty-based Network for Few-shot Image Classification—0
All-Photonic Artificial Neural Network Processor Via Non-linear Optics—0
Binarizing by Classification: Is soft function really necessary?—0
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space—0
Show:102550
← PrevPage 114 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