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 28912900 of 10420 papers

TitleStatusHype
ResidualDroppath: Enhancing Feature Reuse over Residual Connections0
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering0
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision TransformersCode0
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing ImageryCode0
Efficient Whole Slide Image Classification through Fisher Vector Representation0
ScaleNet: Scale Invariance Learning in Directed GraphsCode0
Computed tomography using meta-optics0
Semantic segmentation on multi-resolution optical and microwave data using deep learning0
Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision0
Deep Active Learning in the Open World0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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