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 17261750 of 10419 papers

TitleStatusHype
Deep Transferring QuantizationCode1
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network CalibrationCode1
Contrastive Losses Are Natural Criteria for Unsupervised Video SummarizationCode1
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task modelsCode1
PASS: Part-Aware Self-Supervised Pre-Training for Person Re-IdentificationCode1
Age Estimation Using Expectation of Label Distribution LearningCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
A Novel Convolutional Neural Network Architecture with a Continuous SymmetryCode1
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image ClassifierCode1
Deep AutoAugmentCode1
Contrastive Deep SupervisionCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
PAD-Net: An Efficient Framework for Dynamic NetworksCode1
Pay Attention to MLPsCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
PDiscoFormer: Relaxing Part Discovery Constraints with Vision TransformersCode1
PDO-eConvs: Partial Differential Operator Based Equivariant ConvolutionsCode1
Contrastive Learning of Generalized Game RepresentationsCode1
Peripheral Vision TransformerCode1
CHEX: CHannel EXploration for CNN Model CompressionCode1
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image ClassificationCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
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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