SOTAVerified

Object Discovery

Object Discovery is the task of identifying previously unseen objects.

Source: Unsupervised Object Discovery and Segmentation of RGBD-images

Papers

Showing 101125 of 210 papers

TitleStatusHype
K-means for unsupervised instance segmentation using a self-supervised transformer0
Label-Efficient 3D Object Detection For Road-Side Units0
Language-Mediated, Object-Centric Representation Learning0
Large Scale Novel Object Discovery in 3D0
Large-Scale Object Mining for Object Discovery from Unlabeled Video0
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection0
Leveraging Registers in Vision Transformers for Robust Adaptation0
Mining And-Or Graphs for Graph Matching and Object Discovery0
MOST: Multiple Object localization with Self-supervised Transformers for object discovery0
Motion-inductive Self-supervised Object Discovery in Videos0
Relaxed Multiple-Instance SVM with Application to Object Discovery0
Rethinking Image-to-Video Adaptation: An Object-centric Perspective0
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR0
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences0
Segmentation Free Object Discovery in Video0
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model0
Self-Supervision by Prediction for Object Discovery in Videos0
Self-supervisory Signals for Object Discovery and Detection0
Simultaneous Localization, Mapping, and Manipulation for Unsupervised Object Discovery0
Slot-BERT: Self-supervised Object Discovery in Surgical Video0
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models0
SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics0
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation0
Spacetime Graph Optimization for Video Object Segmentation0
SURGIVID: Annotation-Efficient Surgical Video Object Discovery0
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