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Object Discovery

Object Discovery is the task of identifying previously unseen objects.

Source: Unsupervised Object Discovery and Segmentation of RGBD-images

Papers

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Showing 151–200 of 210 papers

TitleStatusHype
Appearance Fusion of Multiple Cues for Video Co-localization—0
Entity Abstraction in Visual Model-Based Reinforcement LearningCode0
Agile Depth Sensing Using Triangulation Light Curtains—0
Brain-inspired automated visual object discovery and detection—0
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent RepresentationsCode1
Spacetime Graph Optimization for Video Object Segmentation—0
Object Discovery with a Copy-Pasting GANCode0
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven ExplorationCode0
Universal Bounding Box Regression and Its Applications—0
Unsupervised Image Matching and Object Discovery as OptimizationCode0
Large-Scale Object Mining for Object Discovery from Unlabeled Video—0
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale FeaturesCode0
StampNet: unsupervised multi-class object discoveryCode0
MONet: Unsupervised Scene Decomposition and RepresentationCode0
Object Discovery in Videos as Foreground Motion Clustering—0
Foreground Clustering for Joint Segmentation and Localization in Videos and Images—0
Efficient Dialog Policy Learning via Positive Memory RetentionCode0
Unsupervised learning of foreground object detection—0
Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games—0
Self-supervisory Signals for Object Discovery and Detection—0
Learn To Pay AttentionCode0
Large-Scale Object Discovery and Detector Adaptation from Unlabeled VideoCode0
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks—0
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries—0
Unsupervised Object Discovery and Segmentation of RGBD-images—0
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances—0
Pushing the envelope in deep visual recognition for mobile platforms—0
Common Action Discovery and Localization in Unconstrained Videos—0
Unsupervised object discovery for instance recognition—0
Group-wise Deep Co-saliency Detection—0
Detecting and Grouping Identical Objects for Region Proposal and Classification—0
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming—0
Iterative Spectral Clustering for Unsupervised Object Localization—0
Deep Patch Learning for Weakly Supervised Object Classification and DiscoveryCode0
Object Discovery via Cohesion Measurement—0
Object proposal generation applying the distance dependent Chinese restaurant processCode0
Unsupervised learning from video to detect foreground objects in single images—0
Learning Deep Visual Object Models From Noisy Web Data: How to Make it WorkCode0
Large Scale Novel Object Discovery in 3D—0
Pixel Objectness—0
Co-localization with Category-Consistent Features and Geodesic Distance Propagation—0
GuessWhat?! Visual object discovery through multi-modal dialogueCode1
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model—0
Segmentation Free Object Discovery in Video—0
Active Image Segmentation Propagation—0
POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models—0
Incremental Object Discovery in Time-Varying Image Collections—0
Mining And-Or Graphs for Graph Matching and Object Discovery—0
Relaxed Multiple-Instance SVM with Application to Object Discovery—0
PatchCut: Data-Driven Object Segmentation via Local Shape Transfer—0
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