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 41914200 of 10420 papers

TitleStatusHype
How do Convolutional Neural Networks Learn Design?0
HQViT: Hybrid Quantum Vision Transformer for Image Classification0
Hyperspectral Images Classification Based on Multi-scale Residual Network0
DeepVO: A Deep Learning approach for Monocular Visual Odometry0
Deep Visual Domain Adaptation: A Survey0
Deep Visual Domain Adaptation0
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification0
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model0
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning0
Benchmarking Adversarial Robustness0
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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