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 14261450 of 10420 papers

TitleStatusHype
Knowledge Diffusion for DistillationCode1
Explaining in Style: Training a GAN to explain a classifier in StyleSpaceCode1
DC3DCD: unsupervised learning for multiclass 3D point cloud change detectionCode1
A Survey of Classical And Quantum Sequence ModelsCode1
Evolving Attention with Residual ConvolutionsCode1
Circumventing Outliers of AutoAugment with Knowledge DistillationCode1
DEAL: Deep Evidential Active Learning for Image ClassificationCode1
Active Learning for Convolutional Neural Networks: A Core-Set ApproachCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
DCT-CryptoNets: Scaling Private Inference in the Frequency DomainCode1
Evolutionary Neural AutoML for Deep LearningCode1
Beyond Categorical Label Representations for Image ClassificationCode1
Evolving Normalization-Activation LayersCode1
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label NoiseCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception TasksCode1
Large-scale Dataset Pruning with Dynamic UncertaintyCode1
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
Decision Stream: Cultivating Deep Decision TreesCode1
Fcaformer: Forward Cross Attention in Hybrid Vision TransformerCode1
Calibration of Neural Networks using SplinesCode1
Analyzing Vision Transformers for Image Classification in Class Embedding SpaceCode1
AutoAssist: A Framework to Accelerate Training of Deep Neural NetworksCode1
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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
10RevCol-HTop 1 Accuracy90Unverified