About

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

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Datasets

Greatest papers with code

See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification

26 Jan 2019wvinzh/WS_DAN_PyTorch

Specifically, for each training image, we first generate attention maps to represent the object's discriminative parts by weakly supervised learning.

DATA AUGMENTATION FINE-GRAINED IMAGE CLASSIFICATION IMAGE CROPPING

Reliable and Efficient Image Cropping: A Grid Anchor based Approach

CVPR 2019 HuiZeng/Grid-Anchor-based-Image-Cropping

Consequently, a grid anchor based cropping benchmark is constructed, where all crops of each image are annotated and more reliable evaluation metrics are defined.

IMAGE CROPPING

Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model

18 Sep 2019HuiZeng/Grid-Anchor-based-Image-Cropping-Pytorch

The employed evaluation metrics such as intersection-over-union cannot reliably reflect the real performance of a cropping model, either.

IMAGE CROPPING

Learning to Compose with Professional Photographs on the Web

1 Feb 2017yiling-chen/view-finding-network

Photo composition is an important factor affecting the aesthetics in photography.

IMAGE CROPPING

Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study

5 Jan 2017yiling-chen/flickr-cropping-dataset

Automatic photo cropping is an important tool for improving visual quality of digital photos without resorting to tedious manual selection.

IMAGE CROPPING LEARNING-TO-RANK SALIENCY DETECTION

Feature Forwarding for Efficient Single Image Dehazing

19 Apr 2019pmm09c/ntire-dehazing

Haze degrades content and obscures information of images, which can negatively impact vision-based decision-making in real-time systems.

DECISION MAKING IMAGE CROPPING IMAGE DEHAZING SINGLE IMAGE DEHAZING SUPER-RESOLUTION

Aesthetic-Driven Image Enhancement by Adversarial Learning

17 Jul 2017dannysdeng/EnhanceGAN

We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement.

 Ranked #1 on Image Cropping on AVA (using extra training data)

IMAGE CROPPING IMAGE ENHANCEMENT

Density Map Guided Object Detection in Aerial Images

12 Apr 2020Cli98/DMNet

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 intensity of the map.

IMAGE CROPPING OBJECT DETECTION IN AERIAL IMAGES RGB-D SALIENT OBJECT DETECTION

Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection

7 Nov 2020we1pingyu/DSHNet

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.

HEAD DETECTION IMAGE CROPPING