Papers Active Object Localization
“Active Object Localization” 태그가 달린 논문 9편 · 필터 해제
WoMAP: World Models For Embodied Open-Vocabulary Object Localization
Language-instructed active object localization is a critical challenge for robots, requiring efficient exploration of partially observable environments. However, state-of-the-art approaches either struggle to generalize …
Active Object LocalizationEfficient ExplorationImitation LearningObject+1Exploring Foveation and Saccade for Improved Weakly-Supervised Localization
Deep neural networks have become the de facto choice as feature extraction engines, ubiquitously used for computer vision tasks. The current approach is to process every input with uniform resolution in a one-shot manner…
Active Object LocalizationFoveationObject LocalizationWeakly-Supervised Object LocalizationLeveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos
Objects are crucial for understanding human-object interactions. By identifying the relevant objects, one can also predict potential future interactions or actions that may occur with these objects. In this paper, we stu…
Action AnticipationActive Object LocalizationHuman-Object Interaction DetectionObject+2Object Detection with Deep Reinforcement Learning
Object localization has been a crucial task in computer vision field. Methods of localizing objects in an image have been proposed based on the features of the attended pixels. Recently researchers have proposed methods …
Active Object LocalizationDeep Reinforcement LearningObjectobject-detection+5Gaussian Processes with Context-Supported Priors for Active Object Localization
We devise an algorithm using a Bayesian optimization framework in conjunction with contextual visual data for the efficient localization of objects in still images. Recent research has demonstrated substantial progress i…
Active Object LocalizationBayesian OptimizationGaussian ProcessesObject+2Collaborative Deep Reinforcement Learning for Joint Object Search
We examine the problem of joint top-down active search of multiple objects under interaction, e.g., person riding a bicycle, cups held by the table, etc.. Such objects under interaction often can provide contextual cues …
Active Object LocalizationDeep Reinforcement LearningObjectobject-detection+6Fast On-Line Kernel Density Estimation for Active Object Localization
A major goal of computer vision is to enable computers to interpret visual situations---abstract concepts (e.g., "a person walking a dog," "a crowd waiting for a bus," "a picnic") whose image instantiations are linked mo…
Active Object LocalizationDensity EstimationObject LocalizationActive Object Localization in Visual Situations
We describe a method for performing active localization of objects in instances of visual situations. A visual situation is an abstract concept---e.g., "a boxing match", "a birthday party", "walking the dog", "waiting fo…
Active Object LocalizationObjectObject LocalizationActive Object Localization with Deep Reinforcement Learning
We present an active detection model for localizing objects in scenes. The model is class-specific and allows an agent to focus attention on candidate regions for identifying the correct location of a target object. This…
Active Object LocalizationDeep Reinforcement LearningObjectObject Localization+3