Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision
We tackle the problem of audiovisual scene analysis for weakly-labeled data. To this end, we build upon our previous audiovisual representation learning framework to perform object classification in noisy acoustic enviro…
General ClassificationMultiple Instance LearningObjectObject Localization+1Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond
We propose 'Hide-and-Seek' a general purpose data augmentation technique, which is complementary to existing data augmentation techniques and is beneficial for various visual recognition tasks. The key idea is to hide pa…
Action LocalizationData AugmentationEmotion Recognitionimage-classification+5Transfer learning for time series classification
Transfer learning for deep neural networks is the process of first training a base network on a source dataset, and then transferring the learned features (the network's weights) to a second network to be trained on a ta…
ClassificationDynamic Time WarpingGeneral ClassificationObject Localization+4Flash Photography for Data-Driven Hidden Scene Recovery
Vehicles, search and rescue personnel, and endoscopes use flash lights to locate, identify, and view objects in their surroundings. Here we show the first steps of how all these tasks can be done around corners with cons…
ObjectObject LocalizationBounding Box Regression with Uncertainty for Accurate Object Detection
Large-scale object detection datasets (e.g., MS-COCO) try to define the ground truth bounding boxes as clear as possible. However, we observe that ambiguities are still introduced when labeling the bounding boxes. In thi…
Objectobject-detectionObject DetectionObject Localization+1ML-LocNet: Improving Object Localization with Multi-view Learning Network
This paper addresses Weakly Supervised Object Localization (WSOL) with only image-level supervision. We propose a Multi-view Learning Localization Network (ML-LocNet) by incorporating multi-view learning into a two-phase…
MULTI-VIEW LEARNINGObject LocalizationWeakly-Supervised Object LocalizationHolistic 3D Scene Parsing and Reconstruction from a Single RGB Image
We propose a computational framework to jointly parse a single RGB image and reconstruct a holistic 3D configuration composed by a set of CAD models using a stochastic grammar model. Specifically, we introduce a Holistic…
3D Object DetectionMonocular 3D Object DetectionObjectobject-detection+6Object Localization and Size Estimation from RGB-D Images
Depth sensing cameras (e.g., Kinect sensor, Tango phone) can acquire color and depth images that are registered to a common viewpoint. This opens the possibility of developing algorithms that exploit the advantages of bo…
ObjectObject LocalizationDeep Learning Methods and Applications for Region of Interest Detection in Dermoscopic Images
Rapid growth in the development of medical imaging analysis technology has been propelled by the great interest in improving computer-aided diagnosis and detection (CAD) systems for three popular image visualization task…
Data Augmentationobject-detectionObject DetectionObject Localization+1Self-produced Guidance for Weakly-supervised Object Localization
Weakly supervised methods usually generate localization results based on attention maps produced by classification networks. However, the attention maps exhibit the most discriminative parts of the object which are small…
ClassificationGeneral ClassificationObjectObject Localization+1In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization
While there has been significant progress in solving the problems of image pixel labeling, object detection and scene classification, existing approaches normally address them separately. In this paper, we propose to tac…
object-detectionObject DetectionObject LocalizationScene Classification+3A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning
Computer-aided diagnosis (CAD) techniques for lung field segmentation from chest radiographs (CXR) have been proposed for adult cohorts, but rarely for pediatric subjects. Statistical shape models (SSMs), the workhorse o…
Capacity EstimationObject Localizationparameter estimationRepresentation Learning+1Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving
We propose a stereo vision-based approach for tracking the camera ego-motion and 3D semantic objects in dynamic autonomous driving scenarios. Instead of directly regressing the 3D bounding box using end-to-end approaches…
Autonomous DrivingMotion EstimationObjectObject Localization+1Plenoptic Monte Carlo Object Localization for Robot Grasping under Layered Translucency
In order to fully function in human environments, robot perception will need to account for the uncertainty caused by translucent materials. Translucency poses several open challenges in the form of transparent objects (…
Object LocalizationTransparent objectsLocating Objects Without Bounding Boxes
Recent advances in convolutional neural networks (CNN) have achieved remarkable results in locating objects in images. In these networks, the training procedure usually requires providing bounding boxes or the maximum nu…
ObjectObject LocalizationPupil TrackingLearning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
This work proposes a process for efficiently training a point-wise object detector that enables localizing objects and computing their 6D poses in cluttered and occluded scenes. Accurate pose estimation is typically a re…
6D Pose Estimation6D Pose Estimation using RGBDomain AdaptationObject+3Generative Adversarial Networks for Unsupervised Object Co-localization
This paper introduces a novel approach for unsupervised object co-localization using Generative Adversarial Networks (GANs). GAN is a powerful tool that can implicitly learn unknown data distributions in an unsupervised …
DiversityObjectObject LocalizationVisually Guided Spatial Relation Extraction from Text
Extraction of spatial relations from sentences with complex/nesting relationships is very challenging as often needs resolving inherent semantic ambiguities. We seek help from visual modality to fill the information gap …
Activity RecognitionImage CaptioningImage RetrievalObject Localization+4Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation
Despite remarkable progress, weakly supervised segmentation methods are still inferior to their fully supervised counterparts. We obverse that the performance gap mainly comes from the inability of producing dense and in…
ClassificationGeneral ClassificationObjectObject Localization+4Object Localization with a Weakly Supervised CapsNet
Inspired by CapsNet's routing-by-agreement mechanism with its ability to learn object properties, we explore if those properties in turn can determine new properties of the objects, such as the locations. We then propose…
ObjectObject LocalizationObject RecognitionTransfer Learning+1