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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 51–75 of 210 papers

TitleStatusHype
DIOD: Self-Distillation Meets Object DiscoveryCode1
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping—0
MobileSAMv2: Faster Segment Anything to EverythingCode5
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
Has Anything Changed? 3D Change Detection by 2D Segmentation Masks—0
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object SegmentationCode1
Unsupervised Musical Object Discovery from AudioCode0
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery—0
Towards Unsupervised Object Detection From LiDAR Point Clouds—0
Reward Finetuning for Faster and More Accurate Unsupervised Object DiscoveryCode1
Three Pillars improving Vision Foundation Model Distillation for LidarCode1
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionCode1
SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics—0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object DetectionCode2
Vision Transformers Need RegistersCode6
Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models—0
Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object DatasetCode1
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
PROGrasp: Pragmatic Human-Robot Communication for Object GraspingCode1
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?Code1
Box-based Refinement for Weakly Supervised and Unsupervised Localization TasksCode0
Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization—0
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingCode0
Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in VideosCode0
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