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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 51–100 of 210 papers

TitleStatusHype
Toward unsupervised, multi-object discovery in large-scale image collectionsCode1
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object SegmentationCode1
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature SimilaritiesCode1
Invariant Slot Attention: Object Discovery with Slot-Centric Reference FramesCode1
Object Discovery via Contrastive Learning for Weakly Supervised Object DetectionCode1
Co-Occurring of Object Detection and Identification towards unlabeled object discovery—0
Active Image Segmentation Propagation—0
Object Discovery via Cohesion Measurement—0
FORLA:Federated Object-centric Representation Learning with Slot Attention—0
Appearance Fusion of Multiple Cues for Video Co-localization—0
Foreground Clustering for Joint Segmentation and Localization in Videos and Images—0
GLASS: Guided Latent Slot Diffusion for Object-Centric Learning—0
FODVid: Flow-guided Object Discovery in Videos—0
Common Action Discovery and Localization in Unconstrained Videos—0
Object Discovery in Videos as Foreground Motion Clustering—0
Co-localization with Category-Consistent Features and Geodesic Distance Propagation—0
Enriching Visual Knowledge Bases via Object Discovery and Segmentation—0
Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization—0
Co-localization in Real-World Images—0
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation—0
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
Leveraging Registers in Vision Transformers for Robust Adaptation—0
Agile Depth Sensing Using Triangulation Light Curtains—0
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots—0
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations—0
Object-Category Aware Reinforcement Learning—0
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection—0
Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields—0
AutoRecon: Automated 3D Object Discovery and Reconstruction—0
Motion-inductive Self-supervised Object Discovery in Videos—0
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset—0
Language-Mediated, Object-Centric Representation Learning—0
Label-Efficient 3D Object Detection For Road-Side Units—0
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery—0
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images—0
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances—0
K-means for unsupervised instance segmentation using a self-supervised transformer—0
Large Scale Novel Object Discovery in 3D—0
Large-Scale Object Mining for Object Discovery from Unlabeled Video—0
Differentiable Mathematical Programming for Object-Centric Representation Learning—0
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions—0
Iterative Spectral Clustering for Unsupervised Object Localization—0
Attention-Guided Masked Autoencoders For Learning Image Representations—0
MOST: Multiple Object localization with Self-supervised Transformers for object discovery—0
Multi-Label Self-Supervised Learning with Scene Images—0
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos—0
Detecting and Grouping Identical Objects for Region Proposal and Classification—0
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention—0
Individuation, Identification and Object Discovery—0
Exploring Depth Contribution for Camouflaged Object Detection—0
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