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.
|TREND||DATASET||BEST METHOD||PAPER TITLE||PAPER||CODE||COMPARE|
Specifically, for each training image, we first generate attention maps to represent the object's discriminative parts by weakly supervised learning.
Ranked #3 on Fine-Grained Image Classification on CUB-200-2011
Consequently, a grid anchor based cropping benchmark is constructed, where all crops of each image are annotated and more reliable evaluation metrics are defined.
The employed evaluation metrics such as intersection-over-union cannot reliably reflect the real performance of a cropping model, either.
Photo composition is an important factor affecting the aesthetics in photography.
Haze degrades content and obscures information of images, which can negatively impact vision-based decision-making in real-time systems.
Ranked #2 on Image Dehazing on O-Haze
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.
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.