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 1–50 of 83 papers

TitleStatusHype
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion ModelCode3
FiT: Flexible Vision Transformer for Diffusion ModelCode3
Deep PCB To COCO ConvertorCode2
Spatial-Semantic Collaborative Cropping for User Generated ContentCode2
Dissecting Image CropsCode1
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object DetectionCode1
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
Learning to Compose with Professional Photographs on the WebCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Grid Anchor based Image Cropping: A New Benchmark and An Efficient ModelCode1
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed InputsCode1
Human-centric Image Cropping with Partition-aware and Content-preserving FeaturesCode1
IDA: Improved Data Augmentation Applied to Salient Object DetectionCode1
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and AgencyCode1
Salient Object Ranking with Position-Preserved AttentionCode1
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision TransformerCode1
Composing Photos Like a PhotographerCode1
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing ImagesCode1
From Image to Imuge: Immunized Image GenerationCode1
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual ClassificationCode1
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image CompositionCode1
Density Map Guided Object Detection in Aerial ImagesCode1
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
Weakly Supervised Real-time Image Cropping based on Aesthetic Distributions—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
A new Level-set based Protocol for Accurate Bone Segmentation from CT Imaging—0
An Experience-based Direct Generation approach to Automatic Image Cropping—0
A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch—0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Automatic Image Cropping : A Computational Complexity Study—0
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression—0
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network—0
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings—0
Camera View Adjustment Prediction for Improving Image Composition—0
Challenges of building medical image datasets for development of deep learning software in stroke—0
ClipCrop: Conditioned Cropping Driven by Vision-Language Model—0
Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval—0
Cropper: Vision-Language Model for Image Cropping through In-Context Learning—0
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Enhancing DR Classification with Swin Transformer and Shifted Window Attention—0
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression—0
Good View Hunting: Learning Photo Composition From Dense View Pairs—0
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation—0
Image Cropping under Design Constraints—0
Image Cropping with Composition and Saliency Aware Aesthetic Score Map—0
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified