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 33613370 of 10420 papers

TitleStatusHype
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features0
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning0
Edge Detection and Deep Learning Based SETI Signal Classification Method0
Bio-inspired learnable divisive normalization for ANNs0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits0
A Closer Look at Personalization in Federated Image Classification0
Fast, Better Training Trick --- Random Gradient0
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification0
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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