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 19261950 of 10420 papers

TitleStatusHype
SpinalNet: Deep Neural Network with Gradual InputCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement LearningCode1
SP-ViT: Learning 2D Spatial Priors for Vision TransformersCode1
Squeeze-and-Excitation NetworksCode1
Histopathological Image Classification with Cell Morphology Aware Deep Neural NetworksCode1
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image ClassificationCode1
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray ClassificationCode1
Stable Anderson Acceleration for Deep LearningCode1
Combating Label Noise in Deep Learning Using AbstentionCode1
Arch-Net: Model Distillation for Architecture Agnostic Model DeploymentCode1
Concept Learners for Few-Shot LearningCode1
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic InteractionCode1
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy LabelsCode1
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy LabelsCode1
General Multi-label Image Classification with TransformersCode1
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image ClassificationCode1
GIST: Generating Image-Specific Text for Fine-grained Object ClassificationCode1
Test-time Adaptation with Slot-Centric ModelsCode1
Stream-51: Streaming Classification and Novelty Detection from VideosCode1
One Explanation is Not Enough: Structured Attention Graphs for Image ClassificationCode1
Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image ClassificationCode1
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic ReviewCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
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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