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 30613070 of 10420 papers

TitleStatusHype
Noisy Batch Active Learning with Deterministic AnnealingCode0
Learning in Deep Factor Graphs with Gaussian Belief PropagationCode0
Deep transfer learning method based on automatic domain alignment and moment matchingCode0
Fourier Transform Approximation as an Auxiliary Task for Image ClassificationCode0
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity MetricsCode0
Learning local discrete features in explainable-by-design convolutional neural networksCode0
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function OptimizationCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
Acne Severity Grading on Face Images via Extraction and Guidance of Prior KnowledgeCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
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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