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 1–25 of 83 papers

TitleStatusHype
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion ModelCode3
FiT: Flexible Vision Transformer for Diffusion ModelCode3
Spatial-Semantic Collaborative Cropping for User Generated ContentCode2
Deep PCB To COCO ConvertorCode2
Composing Photos Like a PhotographerCode1
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object DetectionCode1
Density Map Guided Object Detection in Aerial ImagesCode1
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and AgencyCode1
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision TransformerCode1
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing ImagesCode1
Grid Anchor based Image Cropping: A New Benchmark and An Efficient ModelCode1
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual ClassificationCode1
Dissecting Image CropsCode1
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image CompositionCode1
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed InputsCode1
Human-centric Image Cropping with Partition-aware and Content-preserving FeaturesCode1
From Image to Imuge: Immunized Image GenerationCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
IDA: Improved Data Augmentation Applied to Salient Object DetectionCode1
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
Learning to Compose with Professional Photographs on the WebCode1
Salient Object Ranking with Position-Preserved AttentionCode1
Automatic Image Cropping : A Computational Complexity Study—0
Enhancing DR Classification with Swin Transformer and Shifted Window Attention—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified