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
Salient Object Ranking with Position-Preserved AttentionCode1
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object DetectionCode1
IDA: Improved Data Augmentation Applied to Salient Object DetectionCode1
From Image to Imuge: Immunized Image GenerationCode1
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing ImagesCode1
Learning to Compose with Professional Photographs on the WebCode1
Composing Photos Like a PhotographerCode1
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual ClassificationCode1
Human-centric Image Cropping with Partition-aware and Content-preserving FeaturesCode1
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and AgencyCode1
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image CompositionCode1
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed InputsCode1
Grid Anchor based Image Cropping: A New Benchmark and An Efficient ModelCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Dissecting Image CropsCode1
Density Map Guided Object Detection in Aerial ImagesCode1
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision TransformerCode1
ANDA: A Novel Data Augmentation Technique Applied to Salient Object DetectionCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified