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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
XS-VID: An Extremely Small Video Object Detection Dataset—0
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances—0
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset—0
Multi-Label Self-Supervised Learning with Scene Images—0
Multi-Object Discovery by Low-Dimensional Object Motion—0
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations—0
Object-Category Aware Reinforcement Learning—0
Object Discovery in Videos as Foreground Motion Clustering—0
Object Discovery via Cohesion Measurement—0
Online Episodic Memory Visual Query Localization with Egocentric Streaming Object Memory—0
Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models—0
OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection—0
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries—0
PatchCut: Data-Driven Object Segmentation via Local Shape Transfer—0
PatchNet: Unsupervised Object Discovery based on Patch Embedding—0
Pixel Objectness—0
POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models—0
Pushing the envelope in deep visual recognition for mobile platforms—0
MONet: Unsupervised Scene Decomposition and RepresentationCode0
Entity Abstraction in Visual Model-Based Reinforcement LearningCode0
Box-based Refinement for Weakly Supervised and Unsupervised Localization TasksCode0
Efficient Dialog Policy Learning via Positive Memory RetentionCode0
Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in VideosCode0
Boosting Object Representation Learning via Motion and Object ContinuityCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale FeaturesCode0
Object discovery and representation networksCode0
Masked Multi-Query Slot Attention for Unsupervised Object DiscoveryCode0
Unsupervised Musical Object Discovery from AudioCode0
Deep Patch Learning for Weakly Supervised Object Classification and DiscoveryCode0
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingCode0
Object Discovery with a Copy-Pasting GANCode0
Object-Proposal Evaluation Protocol is 'Gameable'Code0
Object proposal generation applying the distance dependent Chinese restaurant processCode0
Objects Can Move: 3D Change Detection by Geometric Transformation ConstistencyCode0
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT DescriptorsCode0
Binding threshold units with artificial oscillatory neuronsCode0
Contrastive Training of Complex-Valued Autoencoders for Object DiscoveryCode0
Adversarial Normalization: I Can Visualize Everything (ICE)Code0
StampNet: unsupervised multi-class object discoveryCode0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
Weakly-supervised Contrastive Learning for Unsupervised Object DiscoveryCode0
PEEKABOO: Hiding parts of an image for unsupervised object localizationCode0
Learn To Pay AttentionCode0
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motionCode0
Adaptive Slot Attention: Object Discovery with Dynamic Slot NumberCode0
Learning Deep Visual Object Models From Noisy Web Data: How to Make it WorkCode0
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven ExplorationCode0
Large-Scale Object Discovery and Detector Adaptation from Unlabeled VideoCode0
Recurrent Complex-Weighted Autoencoders for Unsupervised Object DiscoveryCode0
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