Self-supervised methods have shown promising results in denoising and dehazing tasks, where the collection of the paired dataset is challenging and expensive. However, we find that these methods fail to remove the rain streaks when applied for image …
The IIIT-CFW is database for the cartoon faces in the wild. It is harvested from Google image search.
We train a generative adversarial network which outputs an atmospheric turbulent image by utilizing less computational resources than traditional methods.
Cities having hot weather conditions results in geometrical distortion, thereby adversely affecting the performance of semantic segmentation model. In this work, we study the problem of semantic segmentation model in adapting to such hot climate cities.
Object detection is a key component in autonomous navigation systems that enables localization and classification of the objects in a road scene. Existing object detection methods are trained and inferred on a fixed number of known classes present in …
High-temperature weather conditions induce geometrical distortions in images which can adversely affect the performance of a computer vision model performing downstream tasks such as semantic segmentation. The performance of such models has been …