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 1301–1350 of 10419 papers

TitleStatusHype
Averaging Weights Leads to Wider Optima and Better GeneralizationCode1
Confidence Regularized Self-TrainingCode1
GOLD-NAS: Gradual, One-Level, DifferentiableCode1
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image ClassificationCode1
Consistency-based Active Learning for Object DetectionCode1
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image ClassificationCode1
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design AnywhereCode1
Robust Models Are More Interpretable Because Attributions Look NormalCode1
Aggregated Residual Transformations for Deep Neural NetworksCode1
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural NetworksCode1
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
Adaptive Edge Offloading for Image Classification Under Rate LimitCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic ForgettingCode1
A Toolkit for Generating Code Knowledge GraphsCode1
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationCode1
Backdoor Attacks on Crowd CountingCode1
Energy-Latency Attacks via Sponge PoisoningCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated LearningCode1
Ensembling with Deep Generative ViewsCode1
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image ClassificationCode1
Contextual Transformer Networks for Visual RecognitionCode1
Boosting the Adversarial Transferability of Surrogate Models with Dark KnowledgeCode1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean LabelCode1
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by DesignCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Continual Hippocampus Segmentation with TransformersCode1
Hard Sample Aware Noise Robust Learning for Histopathology Image ClassificationCode1
BAGAN: Data Augmentation with Balancing GANCode1
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modelingCode1
Emerging Properties in Self-Supervised Vision TransformersCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
ELSA: Enhanced Local Self-Attention for Vision TransformerCode1
Continual Learning with Scaled Gradient ProjectionCode1
Balanced Contrastive Learning for Long-Tailed Visual RecognitionCode1
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
Contrastive Learning Improves Model Robustness Under Label NoiseCode1
Boosting Multi-Label Image Classification with Complementary Parallel Self-DistillationCode1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
Balanced-MixUp for Highly Imbalanced Medical Image ClassificationCode1
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature FusionCode1
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image ClassificationCode1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?Code1
Derivative Manipulation for General Example WeightingCode1
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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