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 26–50 of 83 papers

TitleStatusHype
ClipCrop: Conditioned Cropping Driven by Vision-Language Model—0
Human-centric Image Cropping with Partition-aware and Content-preserving FeaturesCode1
Image Protection for Robust Cropping Localization and Recovery—0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Deep PCB To COCO ConvertorCode2
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
From Image to Imuge: Immunized Image GenerationCode1
RWN: Robust Watermarking Network for Image Cropping Localization—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
Semantic Image Cropping—0
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing ImagesCode1
Composing Photos Like a PhotographerCode1
Salient Object Ranking with Position-Preserved AttentionCode1
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and AgencyCode1
Camera View Adjustment Prediction for Improving Image Composition—0
Dissecting Image CropsCode1
Towards Domain-Agnostic Contrastive Learning—0
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object DetectionCode1
Weakly Supervised Real-time Image Cropping based on Aesthetic Distributions—0
Show:102550
← PrevPage 2 of 4Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified