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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 31–40 of 83 papers

TitleStatusHype
Image Cropping under Design Constraints—0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Image Cropping with Composition and Saliency Aware Aesthetic Score Map—0
Augmenting Model Robustness with Transformation-Invariant Attacks—0
Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval—0
ClipCrop: Conditioned Cropping Driven by Vision-Language Model—0
A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch—0
Challenges of building medical image datasets for development of deep learning software in stroke—0
Camera View Adjustment Prediction for Improving Image Composition—0
An Experience-based Direct Generation approach to Automatic Image Cropping—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified