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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 11–20 of 210 papers

TitleStatusHype
Vector-Quantized Vision Foundation Models for Object-Centric LearningCode1
PickScan: Object discovery and reconstruction from handheld interactionsCode1
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic SegmentationCode1
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object DetectionCode1
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-ClassesCode1
Detecting Every Object from EventsCode1
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised TransformersCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object SegmentationCode1
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