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One-Shot Object Detection

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<span style="color:grey; opacity: 0.6">( Image credit: Siamese Mask R-CNN )</span>

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga

Detect Everything with Few Examples

Adaptive Base-class Suppression and Prior Guidance Network for One-Shot Object Detection

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text

Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection

Simple Open-Vocabulary Object Detection with Vision Transformers

Semantic-aligned Fusion Transformer for One-shot Object Detection

A Survey of Deep Learning for Low-Shot Object Detection

CAT: Cross-Attention Transformer for One-Shot Object Detection

A Broad Dataset is All You Need for One-Shot Object Detection

Quasi-Dense Similarity Learning for Multiple Object Tracking

One-Shot Object Detection without Fine-Tuning

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

One-Shot Object Detection with Co-Attention and Co-Excitation

One-Shot Instance Segmentation

DroNet: Efficient convolutional neural network detector for real-time UAV applications

RepMet: Representative-based metric learning for classification and one-shot object detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.