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 176–200 of 210 papers

TitleStatusHype
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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