Visual scene understanding is a basic function of human perception and one of the primary goals of computer vision. Object detection, which involves recognizing and localizing objects present in an environment, is a fundamental task in scene understanding. In the past years, object detection is one of most rapidly developing research areas in computer vision. Progress has been made through a combined efforts of large scale datasets, high quality annotations, and feature representations learned with novel convolutional neural network architectures. This thesis discusses both the process of dataset creation and the subsequent challenges in algorithm design for object detection. We create a large scale visual dataset Common Object in CO...
Object Detection is a core task in computer vision and essential for many downstream tasks/ap- plica...
Objects and parts are crucial elements for achieving automatic image understanding. The goal of the...
Object detection is a fundamental computer vision task that estimates object classification labels a...
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by pl...
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by pl...
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by pl...
Object detection, which aims to recognize and locate objects within images using bounding boxes, is ...
Object detection is one of the fundamental problems in computer vision that has great practical impa...
With the success of new computational architectures for visual processing, such as convolutional neu...
Image object detection networks that depend on region proposal networks (RPN) have achieved state-of...
The performance of object detection has steadily improved over the past decade, primarily due to imp...
Deep learning based visual recognition and localization is one of the pillars of computer vision and...
Object detection is a fundamental problem in computer vision and is an essential building block for ...
A fundamental problem in computer vision is knowing what is in the image and where it is. We develop...
Object Detection is the task of classification andlocalization of objects in an image or video. It h...
Object Detection is a core task in computer vision and essential for many downstream tasks/ap- plica...
Objects and parts are crucial elements for achieving automatic image understanding. The goal of the...
Object detection is a fundamental computer vision task that estimates object classification labels a...
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by pl...
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by pl...
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by pl...
Object detection, which aims to recognize and locate objects within images using bounding boxes, is ...
Object detection is one of the fundamental problems in computer vision that has great practical impa...
With the success of new computational architectures for visual processing, such as convolutional neu...
Image object detection networks that depend on region proposal networks (RPN) have achieved state-of...
The performance of object detection has steadily improved over the past decade, primarily due to imp...
Deep learning based visual recognition and localization is one of the pillars of computer vision and...
Object detection is a fundamental problem in computer vision and is an essential building block for ...
A fundamental problem in computer vision is knowing what is in the image and where it is. We develop...
Object Detection is the task of classification andlocalization of objects in an image or video. It h...
Object Detection is a core task in computer vision and essential for many downstream tasks/ap- plica...
Objects and parts are crucial elements for achieving automatic image understanding. The goal of the...
Object detection is a fundamental computer vision task that estimates object classification labels a...