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 1012610150 of 10420 papers

TitleStatusHype
TensorNetwork for Machine LearningCode0
Spatial-Channel Token Distillation for Vision MLPsCode0
Training highly effective connectivities within neural networks with randomly initialized, fixed weightsCode0
Perturbated Gradients Updating within Unit Space for Deep LearningCode0
Tensorizing Neural NetworksCode0
Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width LimitCode0
Sparse then Prune: Toward Efficient Vision TransformersCode0
Training Neural Networks by Using Power Linear Units (PoLUs)Code0
Sparseout: Controlling Sparsity in Deep NetworksCode0
Urban Sound Tagging using Convolutional Neural NetworksCode0
Training Neural Networks with Local Error SignalsCode0
Tensor-based algorithms for image classificationCode0
SparseFool: a few pixels make a big differenceCode0
TensAIR: Real-Time Training of Neural Networks from Data-streamsCode0
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error AnalysisCode0
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised LearningCode0
Scaling Supervised Local Learning with Augmented Auxiliary NetworksCode0
Use the Detection Transformer as a Data AugmenterCode0
Scalable Second Order Optimization for Deep LearningCode0
Semi-Supervised Learning with Pseudo-Negative Labels for Image ClassificationCode0
Semi-Supervised Learning with Normalizing FlowsCode0
TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block InversionCode0
Temporally Sorting Images from Real-World EventsCode0
Temporal Feature Weaving for Neonatal Echocardiographic Viewpoint Video ClassificationCode0
Scaling Open-Vocabulary Object DetectionCode0
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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