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

Showing 12511275 of 10419 papers

TitleStatusHype
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsCode1
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of EnsemblesCode1
Automated Learning Rate Scheduler for Large-batch TrainingCode1
Dynamic Grained Encoder for Vision TransformersCode1
Counterfactual Generative NetworksCode1
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal InformationCode1
Dynamic Routing Between CapsulesCode1
Dynamic Token Pruning in Plain Vision Transformers for Semantic SegmentationCode1
Convolution-enhanced Evolving Attention NetworksCode1
Automatically designing CNN architectures using genetic algorithm for image classificationCode1
A Bregman Learning Framework for Sparse Neural NetworksCode1
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationCode1
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision ModelsCode1
EEEA-Net: An Early Exit Evolutionary Neural Architecture SearchCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest ImagesCode1
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design AnywhereCode1
Efficient Classification of Very Large Images with Tiny ObjectsCode1
Aggregated Residual Transformations for Deep Neural NetworksCode1
Efficient Deep Learning of Non-local Features for Hyperspectral Image ClassificationCode1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
Counterfactual Visual ExplanationsCode1
Cross-Iteration Batch NormalizationCode1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified