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 31013110 of 10420 papers

TitleStatusHype
Patch-wise Features for Blur Image Classification0
Robust Neural Architecture Search0
MULLER: Multilayer Laplacian Resizer for VisionCode0
SMPConv: Self-moving Point Representations for Continuous ConvolutionCode1
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural NetworksCode0
Efficient CNNs via Passive Filter Pruning0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
Self-Supervised Siamese Autoencoders0
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
Context-Aware Classification of Legal Document Pages0
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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