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 42514260 of 10420 papers

TitleStatusHype
Deep Residual Network based food recognition for enhanced Augmented Reality application0
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning0
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products0
Deep Residual Axial Networks0
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition0
HOG feature extraction from encrypted images for privacy-preserving machine learning0
How do Convolutional Neural Networks Learn Design?0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?0
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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