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 30813090 of 10420 papers

TitleStatusHype
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning0
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification0
Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning0
Boosting Medical Image Classification with Segmentation Foundation Model0
Evolutionary Neural Architecture Search for Image Restoration0
Disrupting Model Training with Adversarial Shortcuts0
Evolutionary-Neural Hybrid Agents for Architecture Search0
Boosting Network Weight Separability via Feed-Backward Reconstruction0
Distance-based Composable Representations with Neural Networks0
Evolution of active categorical image classification via saccadic eye movement0
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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