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 56765700 of 10420 papers

TitleStatusHype
Federated Learning with Downlink Device Selection0
SpectralFormer: Rethinking Hyperspectral Image Classification with TransformersCode1
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationCode1
Introducing the structural bases of typicality effects in deep learning0
Understanding Intrinsic Robustness Using Label UncertaintyCode0
GLiT: Neural Architecture Search for Global and Local Image TransformerCode1
Generalization Error Analysis of Neural networks with Gradient Based Regularization0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps0
Confidence-based Out-of-Distribution Detection: A Comparative Study and AnalysisCode0
Vision Xformers: Efficient Attention for Image ClassificationCode1
Continual Contrastive Learning for Image ClassificationCode0
Exact Backpropagation in Binary Weighted Networks with Group Weight TransformationsCode0
Learning Debiased Representation via Disentangled Feature AugmentationCode1
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning0
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification0
Hybrid Supervision Learning for Pathology Whole Slide Image ClassificationCode1
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale EmbeddingsCode0
On Bridging Generic and Personalized Federated Learning for Image ClassificationCode1
Overhead-MNIST: Machine Learning Baselines for Image Classification0
Towards Measuring Bias in Image Classification0
SIMILAR: Submodular Information Measures Based Active Learning In Realistic ScenariosCode1
On the Practicality of Deterministic Epistemic UncertaintyCode0
AutoFormer: Searching Transformers for Visual RecognitionCode2
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped WindowsCode1
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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