The detection of the presence of tampered images is of significant importance in digital forensics. The problem with image tampering detection is the vast number of features that are currently available in the literature. It is very challenging to determine the best features to correctly characterise these images. This paper proposes a hybrid evolutionary framework to perform a quantitative stu...

We present the 2017 WebVision Challenge, a public image recognition challenge designed for deep learning based on web images without instance-level human annotation. Following the spirit of previous vision challenges, such as ILSVRC [1], Places2 [2] and PASCAL VOC [3], which have played critical roles in the development of computer vision by contributing to the community with large scale annota...

This paper describes the COCO-Text dataset. In recent years large-scale datasets like SUN and Imagenet drove the advancement of scene understanding and object recognition. The goal of COCO-Text is to advance state-of-the-art in text detection and recognition in natural images. The dataset is based on the MS COCO dataset, which contains images of complex everyday scenes. The images were not coll...

We argue that space-time geometry is not absolute with respect to the frame of reference being used. The space-time metric differential form ds in noninertial frames of reference (NIFR) is caused by the properties of the used frames in accordance with the Berkley-Leibnitz-Mach-Poincaré ideas about relativity of space and time. It is shown that the Sagnac effect and the existence of inertial for...

We consider image classification with estimated depth. This problem falls into the domain of transfer learning, since we are using a model trained on a set of depth images to generate depth maps (additional features) for use in another classification problem using another disjoint set of images. It’s challenging as no direct depth information is provided. Though depth estimation has been well s...

The human hand possesses distinctive features which can reveal gender information. In addition, the hand is considered one of the primary biometric traits used to identify a person. In this work, we propose a large dataset of human hand images with detailed ground-truth information for gender recognition and biometric identification. The proposed dataset comprises of 11,076 hand images (dorsal ...

This paper presents a dataset recorded on-board a camera-equipped Micro Aerial Vehicle (MAV) flying within the urban streets of Zurich, Switzerland, at low altitudes (i.e., 5-15 meters above the ground). The 2 km dataset consists of time synchronized aerial high-resolution images, GPS and IMU sensor data, ground-level street view images, and ground truth data. The dataset is ideal to evaluate a...

We describe our two new datasets with images described by humans. Both the datasets were collected using Amazon Mechanical Turk, a crowdsourcing platform. The two datasets contain significantly more descriptions per image than other existing datasets. One is based on a popular image description dataset called the UIUC Pascal Sentence Dataset, whereas the other is based on the Abstract Scenes da...