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

Showing 5183 of 83 papers

TitleStatusHype
RWN: Robust Watermarking Network for Image Cropping Localization0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences0
Semantic Image Cropping0
Camera View Adjustment Prediction for Improving Image Composition0
Towards Domain-Agnostic Contrastive Learning0
Weakly Supervised Real-time Image Cropping based on Aesthetic Distributions0
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network0
A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode0
Learning to Learn Cropping Models for Different Aspect Ratio RequirementsCode0
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation0
Towards Evaluating Gaussian Blurring in Perceptual Hashing as a Facial Image Filter0
Image Cropping with Composition and Saliency Aware Aesthetic Score Map0
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment0
ANDA: A Novel Data Augmentation Technique Applied to Salient Object DetectionCode0
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic PhotosCode0
Towards End-to-End Text Spotting in Natural Scenes0
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 Attacks0
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 Pairs0
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression0
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 Networks0
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation0
Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative StudyCode0
Automatic Image Cropping : A Computational Complexity Study0
A new Level-set based Protocol for Accurate Bone Segmentation from CT Imaging0
Learning the Change for Automatic Image Cropping0
Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03Unverified