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 151–200 of 210 papers

TitleStatusHype
Image Segmentation-based Unsupervised Multiple Objects Discovery—0
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy—0
Incremental Object Discovery in Time-Varying Image Collections—0
Individuation, Identification and Object Discovery—0
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention—0
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos—0
Iterative Spectral Clustering for Unsupervised Object Localization—0
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions—0
K-means for unsupervised instance segmentation using a self-supervised transformer—0
Label-Efficient 3D Object Detection For Road-Side Units—0
Language-Mediated, Object-Centric Representation Learning—0
Large Scale Novel Object Discovery in 3D—0
Large-Scale Object Mining for Object Discovery from Unlabeled Video—0
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection—0
Leveraging Registers in Vision Transformers for Robust Adaptation—0
Mining And-Or Graphs for Graph Matching and Object Discovery—0
MOST: Multiple Object localization with Self-supervised Transformers for object discovery—0
Motion-inductive Self-supervised Object Discovery in Videos—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
Relaxed Multiple-Instance SVM with Application to Object Discovery—0
Rethinking Image-to-Video Adaptation: An Object-centric Perspective—0
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR—0
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences—0
Segmentation Free Object Discovery in Video—0
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model—0
Self-Supervision by Prediction for Object Discovery in Videos—0
Self-supervisory Signals for Object Discovery and Detection—0
Simultaneous Localization, Mapping, and Manipulation for Unsupervised Object Discovery—0
Slot-BERT: Self-supervised Object Discovery in Surgical Video—0
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models—0
SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics—0
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation—0
Spacetime Graph Optimization for Video Object Segmentation—0
SURGIVID: Annotation-Efficient Surgical Video Object Discovery—0
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation—0
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