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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 176–200 of 210 papers

TitleStatusHype
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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