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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 26–50 of 83 papers

TitleStatusHype
ACE: Anatomically Consistent Embeddings in Composition and DecompositionCode0
Cropper: Vision-Language Model for Image Cropping through In-Context Learning—0
Understanding the Dependence of Perception Model Competency on Regions in an ImageCode0
Pseudo-Labeling by Multi-Policy Viewfinder Network for Image Cropping—0
Low Cost Machine Vision for Insect Classification—0
Learning Subject-Aware Cropping by Outpainting Professional Photos—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Image Cropping under Design Constraints—0
Challenges of building medical image datasets for development of deep learning software in stroke—0
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection—0
Construction of unbiased dental template and parametric dental model for precision digital dentistryCode0
Lightweight High-Performance Blind Image Quality Assessment—0
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression—0
Image Cropping With Spatial-Aware Feature and Rank Consistency—0
An Experience-based Direct Generation approach to Automatic Image Cropping—0
ClipCrop: Conditioned Cropping Driven by Vision-Language Model—0
Image Protection for Robust Cropping Localization and Recovery—0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset—0
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping—0
Rethinking Image Cropping: Exploring Diverse Compositions From Global Views—0
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified