SOTAVerified

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 1–50 of 210 papers

TitleStatusHype
Vision Transformers Need RegistersCode6
MobileSAMv2: Faster Segment Anything to EverythingCode5
Universal Instance Perception as Object Discovery and RetrievalCode3
Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object DetectionCode3
Denoising Vision TransformersCode3
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized CutCode2
Artificial Kuramoto Oscillatory NeuronsCode2
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object DetectionCode2
FrontierNet: Learning Visual Cues to ExploreCode2
Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object DatasetCode1
Three Pillars improving Vision Foundation Model Distillation for LidarCode1
Reconstruction Bottlenecks in Object-Centric Generative ModelsCode1
Test-time Adaptation with Slot-Centric ModelsCode1
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-ClassesCode1
Self-Supervised Visual Representation Learning with Semantic GroupingCode1
Unsupervised Domain Adaptation for Nighttime Aerial TrackingCode1
Object Discovery via Contrastive Learning for Weakly Supervised Object DetectionCode1
MOVE: Unsupervised Movable Object Segmentation and DetectionCode1
Detecting Every Object from EventsCode1
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature SimilaritiesCode1
Object Discovery from Motion-Guided TokensCode1
Discovering A Variety of Objects in Spatio-Temporal Human-Object InteractionsCode1
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent RepresentationsCode1
PROGrasp: Pragmatic Human-Robot Communication for Object GraspingCode1
OCAtari: Object-Centric Atari 2600 Reinforcement Learning EnvironmentsCode1
Reward Finetuning for Faster and More Accurate Unsupervised Object DiscoveryCode1
Learning Co-segmentation by Segment Swapping for Retrieval and DiscoveryCode1
Complex-Valued Autoencoders for Object DiscoveryCode1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
Toward unsupervised, multi-object discovery in large-scale image collectionsCode1
Learning Open-World Object Proposals without Learning to ClassifyCode1
Are We Done with Object-Centric Learning?Code1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
Invariant Slot Attention: Object Discovery with Slot-Centric Reference FramesCode1
4D Unsupervised Object DiscoveryCode1
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic SegmentationCode1
Large-Scale Unsupervised Object DiscoveryCode1
GuessWhat?! Visual object discovery through multi-modal dialogueCode1
Localizing Objects with Self-Supervised Transformers and no LabelsCode1
Monocular Arbitrary Moving Object Discovery and SegmentationCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object DetectionCode1
Object-Centric Learning with Slot AttentionCode1
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?Code1
Discovering Objects that Can MoveCode1
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionCode1
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object SegmentationCode1
Learning to Track Objects from Unlabeled VideosCode1
PickScan: Object discovery and reconstruction from handheld interactionsCode1
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