SOTAVerified

Object Discovery

Object Discovery is the task of identifying previously unseen objects.

Source: Unsupervised Object Discovery and Segmentation of RGBD-images

Papers

Showing 51100 of 210 papers

TitleStatusHype
Learning Open-World Object Proposals without Learning to ClassifyCode1
Are We Done with Object-Centric Learning?Code1
Unsupervised Layered Image Decomposition into Object PrototypesCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic SegmentationCode1
When Does Pruning Benefit Vision Representations?Code0
Contrastive Training of Complex-Valued Autoencoders for Object DiscoveryCode0
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motionCode0
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with TransformersCode0
Weakly-supervised Contrastive Learning for Unsupervised Object DiscoveryCode0
Binding threshold units with artificial oscillatory neuronsCode0
Boosting Object Representation Learning via Motion and Object ContinuityCode0
Entity Abstraction in Visual Model-Based Reinforcement LearningCode0
Unsupervised Musical Object Discovery from AudioCode0
Unsupervised Image Decomposition with Phase-Correlation NetworksCode0
Ego-Object DiscoveryCode0
Unsupervised Image Matching and Object Discovery as OptimizationCode0
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT DescriptorsCode0
Efficient Dialog Policy Learning via Positive Memory RetentionCode0
Learn To Pay AttentionCode0
Learning Deep Visual Object Models From Noisy Web Data: How to Make it WorkCode0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in VideosCode0
Large-Scale Object Discovery and Detector Adaptation from Unlabeled VideoCode0
Adaptive Slot Attention: Object Discovery with Dynamic Slot NumberCode0
StampNet: unsupervised multi-class object discoveryCode0
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene UnderstandingCode0
Knowledge-Guided Object Discovery with Acquired Deep ImpressionsCode0
Adversarial Normalization: I Can Visualize Everything (ICE)Code0
Chair Segments: A Compact Benchmark for the Study of Object SegmentationCode0
Recurrent Complex-Weighted Autoencoders for Unsupervised Object DiscoveryCode0
Towards Self-Supervised Learning of Global and Object-Centric RepresentationsCode0
Object proposal generation applying the distance dependent Chinese restaurant processCode0
Objects Can Move: 3D Change Detection by Geometric Transformation ConstistencyCode0
Object Discovery with a Copy-Pasting GANCode0
Box-based Refinement for Weakly Supervised and Unsupervised Localization TasksCode0
Object-Proposal Evaluation Protocol is 'Gameable'Code0
Object discovery and representation networksCode0
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven ExplorationCode0
Deep Patch Learning for Weakly Supervised Object Classification and DiscoveryCode0
PEEKABOO: Hiding parts of an image for unsupervised object localizationCode0
MONet: Unsupervised Scene Decomposition and RepresentationCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Masked Multi-Query Slot Attention for Unsupervised Object DiscoveryCode0
Grouped Discrete Representation for Object-Centric LearningCode0
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingCode0
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale FeaturesCode0
GLASS: Guided Latent Slot Diffusion for Object-Centric Learning0
Co-Occurring of Object Detection and Identification towards unlabeled object discovery0
FORLA:Federated Object-centric Representation Learning with Slot Attention0
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