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 1351–1400 of 10419 papers

TitleStatusHype
FocusNet: Classifying Better by Focusing on Confusing ClassesCode1
Subspace Regularizers for Few-Shot Class Incremental LearningCode1
Well-classified Examples are Underestimated in Classification with Deep Neural NetworksCode1
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse TasksCode1
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation LearningCode1
Heavy Ball Neural Ordinary Differential EquationsCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
Class-Balanced Active Learning for Image ClassificationCode1
Weak Novel Categories without Tears: A Survey on Weak-Shot LearningCode1
On the Importance of Firth Bias Reduction in Few-Shot ClassificationCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
TyXe: Pyro-based Bayesian neural nets for PytorchCode1
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)Code1
ResNet strikes back: An improved training procedure in timmCode1
WaveMix: Multi-Resolution Token Mixing for ImagesCode1
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet TrainingCode1
Second-Order Neural ODE OptimizerCode1
Combining Human Predictions with Model Probabilities via Confusion Matrices and CalibrationCode1
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image RecognitionCode1
Compressive Visual RepresentationsCode1
Disentangled Feature Representation for Few-shot Image ClassificationCode1
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor SegmentationCode1
FedProc: Prototypical Contrastive Federated Learning on Non-IID dataCode1
Balanced-MixUp for Highly Imbalanced Medical Image ClassificationCode1
PP-LCNet: A Lightweight CPU Convolutional Neural NetworkCode1
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image ClassificationCode1
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?Code1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
Knowledge Distillation Using Hierarchical Self-Supervision Augmented DistributionCode1
Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease ClassificationCode1
Robust fine-tuning of zero-shot modelsCode1
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
Diverse Sample Generation: Pushing the Limit of Generative Data-free QuantizationCode1
Semi-supervised Image Classification with Grad-CAM ConsistencyCode1
Morphence: Moving Target Defense Against Adversarial ExamplesCode1
Tune It or Don't Use It: Benchmarking Data-Efficient Image ClassificationCode1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
MEDIC: A Multi-Task Learning Dataset for Disaster Image ClassificationCode1
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark DetectionCode1
Improving Object Detection by Label Assignment DistillationCode1
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood DensityCode1
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature TransformCode1
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image ClassifierCode1
Do Vision Transformers See Like Convolutional Neural Networks?Code1
Contextual Convolutional Neural NetworksCode1
spectrai: A deep learning framework for spectral dataCode1
EEEA-Net: An Early Exit Evolutionary Neural Architecture SearchCode1
Learning Transferable Parameters for Unsupervised Domain AdaptationCode1
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)Code1
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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