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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–83 of 83 papers

TitleStatusHype
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping—0
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset—0
Rethinking Image Cropping: Exploring Diverse Compositions From Global Views—0
Image Protection for Robust Cropping Localization and Recovery—0
Semantic Image Cropping—0
Towards Domain-Agnostic Contrastive Learning—0
Towards End-to-End Text Spotting in Natural Scenes—0
Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks—0
Towards Evaluating Gaussian Blurring in Perceptual Hashing as a Facial Image Filter—0
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment—0
Image Cropping under Design Constraints—0
Image Cropping with Composition and Saliency Aware Aesthetic Score Map—0
Image Cropping With Spatial-Aware Feature and Rank Consistency—0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Augmenting Model Robustness with Transformation-Invariant Attacks—0
Learning Subject-Aware Cropping by Outpainting Professional Photos—0
Feature Forwarding for Efficient Single Image DehazingCode0
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode0
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic PhotosCode0
A2-RL: Aesthetics Aware Reinforcement Learning for Image CroppingCode0
Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative StudyCode0
Data Augmentation using Random Image Cropping and Patching for Deep CNNsCode0
Reliable and Efficient Image Cropping: A Grid Anchor based ApproachCode0
ANDA: A Novel Data Augmentation Technique Applied to Salient Object DetectionCode0
Construction of unbiased dental template and parametric dental model for precision digital dentistryCode0
Learning to Learn Cropping Models for Different Aspect Ratio RequirementsCode0
Aesthetic-Driven Image Enhancement by Adversarial LearningCode0
Understanding the Dependence of Perception Model Competency on Regions in an ImageCode0
Listwise View Ranking for Image CroppingCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
ACE: Anatomically Consistent Embeddings in Composition and DecompositionCode0
Mask Editor : an Image Annotation Tool for Image Segmentation TasksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified