SOTAVerified

Image Cropping

Image Cropping is a common photo manipulation process, which improves the overall composition by removing unwanted regions. Image Cropping is widely used in photographic, film processing, graphic design, and printing businesses.

Source: Listwise View Ranking for Image Cropping

Papers

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Showing 41–50 of 83 papers

TitleStatusHype
Cropper: Vision-Language Model for Image Cropping through In-Context Learning—0
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Enhancing DR Classification with Swin Transformer and Shifted Window Attention—0
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression—0
Good View Hunting: Learning Photo Composition From Dense View Pairs—0
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation—0
Image Cropping under Design Constraints—0
Image Cropping with Composition and Saliency Aware Aesthetic Score Map—0
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified