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Papers Active Object Localization

“Active Object Localization” 태그가 달린 논문 9편 · 필터 해제

WoMAP: World Models For Embodied Open-Vocabulary Object Localization

2025-06-02 · Tenny Yin, Zhiting Mei, Tao Sun, Lihan Zha 외

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+1

Exploring Foveation and Saccade for Improved Weakly-Supervised Localization

2023-12-16 · NeurIPS 2023 Workshop on Gaze Meets ML, Proceedings of Machine Learning Research 2023 12 · Timur Ibrayev, Manish Nagaraj, Amitangshu Mukherjee, Kaushik Roy

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 Localization

Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos

2023-08-16 · Sanket Thakur, Cigdem Beyan, Pietro Morerio, Vittorio Murino 외

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+2

Object Detection with Deep Reinforcement Learning

2022-08-09 · Manoosh Samiei, Ruofeng Li

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+5

Gaussian Processes with Context-Supported Priors for Active Object Localization

2017-03-25 · Anthony D. Rhodes, Jordan Witte, Melanie Mitchell, Bruno Jedynak

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+2

Collaborative Deep Reinforcement Learning for Joint Object Search

2017-02-18 · CVPR 2017 7 · Xiangyu Kong, Bo Xin, Yizhou Wang, Gang Hua

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+6

Fast On-Line Kernel Density Estimation for Active Object Localization

2016-11-16 · Anthony D. Rhodes, Max H. Quinn, Melanie Mitchell

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 Localization

Active Object Localization in Visual Situations

2016-07-02 · Max H. Quinn, Anthony D. Rhodes, Melanie Mitchell

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 Localization

Active Object Localization with Deep Reinforcement Learning

2015-11-18 · ICCV 2015 12 · Juan C. Caicedo, Svetlana Lazebnik

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
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