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

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Showing 4351–4400 of 10420 papers

TitleStatusHype
An Effective Fusion Method to Enhance the Robustness of CNN—0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification—0
A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification—0
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasksCode0
Abnormal Signal Recognition with Time-Frequency Spectrogram: A Deep Learning Approach—0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Pooling Revisited: Your Receptive Field is Suboptimal—0
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification—0
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?Code1
Revisiting the Importance of Amplifying Bias for DebiasingCode1
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks—0
Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks—0
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense PredictionCode4
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
Object-wise Masked Autoencoders for Fast Pre-training—0
A Closer Look at Self-Supervised Lightweight Vision TransformersCode1
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning—0
MDMLP: Image Classification from Scratch on Small Datasets with MLPCode0
BadDet: Backdoor Attacks on Object DetectionCode0
WaveMix: A Resource-efficient Neural Network for Image AnalysisCode1
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units—0
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning—0
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking TestbedCode1
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNNCode4
X-ViT: High Performance Linear Vision Transformer without Softmax—0
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical ImagesCode1
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature DistillationCode2
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessCode6
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement—0
BagFlip: A Certified Defense against Data PoisoningCode0
Fast Vision Transformers with HiLo AttentionCode2
TransBoost: Improving the Best ImageNet Performance using Deep TransductionCode0
Trainable Weight Averaging: A General Approach for Subspace TrainingCode1
Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial LabelsCode1
Matryoshka Representation LearningCode2
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersCode1
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition—0
Inception TransformerCode2
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
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
Privacy-Preserving Image Classification Using Vision Transformer—0
An interpretation of the final fully connected layer—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments—0
Accurate and Resource-Efficient Lipreading with Efficientnetv2 and Transformers—0
Discriminative Feature Learning through Feature Distance LossCode0
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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
10RevCol-HTop 1 Accuracy90—Unverified