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Cross-Domain Few-Shot Object Detection

The task of Cross-Domain Few-Shot Object Detection (CD-FSOD) aims at tackling FSOD across domains.

Papers

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Showing 11–17 of 17 papers

Title	Date	Tasks	Status	Hype
0/1 Deep Neural Networks via Block Coordinate Descent	Jun 19, 2022	10-shot image generation	—Unverified	0
Exploring Plain Vision Transformer Backbones for Object Detection	Mar 30, 2022	Cross-Domain Few-Shot Object DetectionInstance Segmentation	CodeCode Available	2
Detecting Twenty-thousand Classes using Image-level Supervision	Jan 7, 2022	Cross-Domain Few-Shot Object Detectionimage-classification	CodeCode Available	3
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection	Aug 20, 2021	ClassificationCross-Domain Few-Shot Object Detection	CodeCode Available	1
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding	Mar 10, 2021	Contrastive LearningCross-Domain Few-Shot Object Detection	CodeCode Available	1
Frustratingly Simple Few-Shot Object Detection	Mar 16, 2020	Cross-Domain Few-Shot Object DetectionFew-Shot Object Detection	CodeCode Available	2
Meta-RCNN: Meta Learning for Few-Shot Object Detection	Sep 25, 2019	Cross-Domain Few-Shot Object DetectionFew-Shot Object Detection	—Unverified	0

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