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 51–83 of 83 papers

TitleStatusHype
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network—0
A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode0
IDA: Improved Data Augmentation Applied to Salient Object DetectionCode1
Learning to Learn Cropping Models for Different Aspect Ratio RequirementsCode0
Density Map Guided Object Detection in Aerial ImagesCode1
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation—0
Towards Evaluating Gaussian Blurring in Perceptual Hashing as a Facial Image Filter—0
Image Cropping with Composition and Saliency Aware Aesthetic Score Map—0
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment—0
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
ANDA: A Novel Data Augmentation Technique Applied to Salient Object DetectionCode0
Grid Anchor based Image Cropping: A New Benchmark and An Efficient ModelCode1
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic PhotosCode0
Towards End-to-End Text Spotting in Natural Scenes—0
Listwise View Ranking for Image CroppingCode0
Feature Forwarding for Efficient Single Image DehazingCode0
Reliable and Efficient Image Cropping: A Grid Anchor based ApproachCode0
Augmenting Model Robustness with Transformation-Invariant Attacks—0
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual ClassificationCode1
Data Augmentation using Random Image Cropping and Patching for Deep CNNsCode0
Mask Editor : an Image Annotation Tool for Image Segmentation TasksCode0
Good View Hunting: Learning Photo Composition From Dense View Pairs—0
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression—0
A2-RL: Aesthetics Aware Reinforcement Learning for Image CroppingCode0
Aesthetic-Driven Image Enhancement by Adversarial LearningCode0
Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks—0
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation—0
Learning to Compose with Professional Photographs on the WebCode1
Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative StudyCode0
Automatic Image Cropping : A Computational Complexity Study—0
A new Level-set based Protocol for Accurate Bone Segmentation from CT Imaging—0
Learning the Change for Automatic Image Cropping—0
Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified