Image Cropping

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 39 papers with code (83 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
  5 Oct 2019 5 repositories listed Syntology ran 0 of 20 samples · 20 unverified
  This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.
• See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
  26 Jan 2019 4 repositories listed
  Specifically, for each training image, we first generate attention maps to represent the object's discriminative parts by weakly supervised learning.
• A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
  14 Sep 2017 3 repositories listed
  Image cropping aims at improving the aesthetic quality of images by adjusting their composition.
• FiT: Flexible Vision Transformer for Diffusion Model
  19 Feb 2024 2 repositories listed Syntology ran 15 of 17 samples · 2 unverified
  Nature is infinitely resolution-free.
• Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
  16 Mar 2023 2 repositories listed
  We apply this strategy to SwinIR and present a new model, which named SwinOIR (Object Image Restoration Using Swin Transformer).
• Deep PCB To COCO Convertor
  1 May 2022 2 repositories listed
  It has 1500 image pairs.
• Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
  18 May 2021 2 repositories listed
  However, we demonstrate that formalized fairness metrics and quantitative analysis on their own are insufficient for capturing the risk of representational harm in automatic cropping.
• An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos
  2 Jul 2019 2 repositories listed
  In this paper, we primarily focus on improving the accuracy of automatic image cropping, and on further exploring its potential in public datasets with high efficiency.
• ACE: Anatomically Consistent Embeddings in Composition and Decomposition
  17 Jan 2025 1 repository listed
  Medical images acquired from standardized protocols show consistent macroscopic or microscopic anatomical structures, and these structures consist of composable/decomposable organs and tissues, but existing…
• FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
  17 Oct 2024 1 repository listed
  We have released all the codes and models at \url{https://github.
• Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs
  2 Aug 2024 1 repository listed
  Extensive experiments on 12 mainstream MLLMs, such as GPT-4V and Gemini-Pro Vision, demonstrate that these models exhibit significant hallucinations on Hallu-PI, which is not observed in unperturbed scenarios.
• Understanding the Dependence of Perception Model Competency on Regions in an Image
  15 Jul 2024 1 repository listed
  We find that the competency gradients and reconstruction loss methods show great promise in identifying regions associated with low model competency, particularly when aspects of the image that are unfamiliar to the…
• Spatial-Semantic Collaborative Cropping for User Generated Content
  16 Jan 2024 1 repository listed
  A large amount of User Generated Content (UGC) is uploaded to the Internet daily and displayed to people world-widely through the client side (e.
• Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
  21 Sep 2023 1 repository listed
  In this paper, we circumvent this issue by presenting a joint framework for both unbounded recommendation of camera view and image composition (i.
• Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
  19 Jun 2023 1 repository listed Syntology ran 2 of 5 samples · 3 unverified
  3D sensing for monocular in-the-wild images, e.
• MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
  24 Apr 2023 1 repository listed Syntology ran 10 of 18 samples · 8 unverified
  TransMix uses unreliable attention maps to compute mixed attention labels that can affect the model.
• Human-centric Image Cropping with Partition-aware and Content-preserving Features
  21 Jul 2022 1 repository listed
  Image cropping aims to find visually appealing crops in an image, which is an important yet challenging task.
• AugStatic - A Light-Weight Image Augmentation Library
  1 May 2022 1 repository listed
  AugStatic is a custom-built image augmentation library with lower computation costs and more extraordinary salient features compared to other image augmentation libraries.
• Augmented Balanced Image Dataset Generator Using AugStatic Library
  1 May 2022 1 repository listed
  This paper focuses on the image dataset generator that balances an imbalanced dataset using the AugStatic augmentation library.
• From Image to Imuge: Immunized Image Generation
  27 Oct 2021 1 repository listed
  At the recipient's side, the verifying network localizes the malicious modifications, and the original content can be approximately recovered by the decoder, despite the presence of the attacks.
• Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
  29 Jun 2021 1 repository listed
  To overcome this limitation, we propose a Wide-Context Network (WiCoNet) for the semantic segmentation of HR RSIs.
• Composing Photos Like a Photographer
  19 Jun 2021 1 repository listed
  To this end, we introduce the concept of the key composition map (KCM) to encode the composition rules.
• Salient Object Ranking with Position-Preserved Attention
  9 Jun 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  In this paper, we study the Salient Object Ranking (SOR) task, which manages to assign a ranking order of each detected object according to its visual saliency.
• Dissecting Image Crops
  24 Nov 2020 1 repository listed
  The elementary operation of cropping underpins nearly every computer vision system, ranging from data augmentation and translation invariance to computational photography and representation learning.
• Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
  7 Nov 2020 1 repository listed
  To this end, we rethink long-tailed object detection in UAV images and propose the Dual Sampler and Head detection Network (DSHNet), which is the first work that aims to resolve long-tail distribution in UAV images.
• A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
  21 Sep 2020 1 repository listed
  This work presents Kornia, an open source computer vision library built upon a set of differentiable routines and modules that aims to solve generic computer vision problems.
• IDA: Improved Data Augmentation Applied to Salient Object Detection
  18 Sep 2020 1 repository listed
  Combining our method with others surpasses traditional techniques such as horizontal-flip in 0.
• Learning to Learn Cropping Models for Different Aspect Ratio Requirements
  1 Jun 2020 1 repository listed
  In addition, both the intermediate and final results show that the proposed model can predict different cropping windows for an image depending on different aspect ratio requirements.
• Density Map Guided Object Detection in Aerial Images
  12 Apr 2020 1 repository listed
  Specifically, we propose a Density-Map guided object detection Network (DMNet), which is inspired from the observation that the object density map of an image presents how objects distribute in terms of the pixel…
• ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection
  3 Oct 2019 1 repository listed
  We also compared our method with other data augmentation techniques.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.