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 926950 of 10419 papers

TitleStatusHype
Function-Consistent Feature DistillationCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic SegmentationCode1
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical ImagingCode1
Gated Attention Coding for Training High-performance and Efficient Spiking Neural NetworksCode1
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray ClassificationCode1
General E(2)-Equivariant Steerable CNNsCode1
Approaching Deep Learning through the Spectral Dynamics of WeightsCode1
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy LabelsCode1
Augmentation Strategies for Learning with Noisy LabelsCode1
General Multi-label Image Classification with TransformersCode1
GIST: Generating Image-Specific Text for Fine-grained Object ClassificationCode1
Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image ClassificationCode1
Generative Hierarchical Features from Synthesizing ImagesCode1
Generative Interventions for Causal LearningCode1
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image ClassificationCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Combining Human Predictions with Model Probabilities via Confusion Matrices and CalibrationCode1
GeoWINE: Geolocation based Wiki, Image,News and Event RetrievalCode1
GhostNet: More Features from Cheap OperationsCode1
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge DistillationCode1
GLiT: Neural Architecture Search for Global and Local Image TransformerCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
GlobalMamba: Global Image Serialization for Vision MambaCode1
Contextual Diversity for Active LearningCode1
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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