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 25212530 of 10420 papers

TitleStatusHype
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval0
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets0
Approximation properties of Residual Neural Networks for Kolmogorov PDEs0
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights0
Adversarially Robust Generalization Requires More Data0
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning0
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images0
Do More Dropouts in Pool5 Feature Maps for Better Object Detection0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving0
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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