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Few-Shot Object Detection

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Few-Shot Object Detection is a computer vision task that involves detecting objects in images with limited training data. The goal is to train a model on a few examples of each object class and then use the model to detect objects in new images.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/wangchen1801/fpd

공식 코드

Fine-Grained Prototypes Distillation for Few-Shot Object Detection

https://github.com/wushuang1998/mfdc

공식 코드

Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection

https://github.com/xavibou/ovdsat

공식 코드

Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery

https://github.com/yang-yk/NP-RepMet

공식 코드

Restoring Negative Information in Few-Shot Object Detection

https://github.com/yhcao6/fadi

공식 코드

Few-Shot Object Detection via Association and DIscrimination

https://github.com/yifanxu74/mq-det

공식 코드

Multi-modal Queried Object Detection in the Wild

https://github.com/ze-yang/efficient-fsod

공식 코드

Efficient Few-Shot Object Detection via Knowledge Inheritance

https://github.com/zhanglu-cst/hifsod

공식 코드

Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method

https://github.com/zhu-xlab/st-fsod

공식 코드

Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects

https://github.com/zshanggu/cdmm

공식 코드

Cross-domain Multi-modal Few-shot Object Detection via Rich Text

https://github.com/zshanggu/htrpn

공식 코드

Identification of Novel Classes for Improving Few-Shot Object Detection

https://github.com/zyn-1101/dandr

공식 코드

Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective

https://github.com/2006pmach/awesome-few-shot-object-detection

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

https://github.com/Cassie94/LSTD

LSTD: A Low-Shot Transfer Detector for Object Detection

https://github.com/Chasing-After-AI/AI-papers

Few-shot Object Detection via Feature Reweighting

https://github.com/MindCode-4/code-1/tree/main/vit

Exploring Plain Vision Transformer Backbones for Object Detection

https://github.com/MindCode-4/code-10/tree/main/CME

Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection

https://github.com/MindCode-4/code-5/tree/main/vitdet

Exploring Plain Vision Transformer Backbones for Object Detection

https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/vitdet

Exploring Plain Vision Transformer Backbones for Object Detection

https://github.com/Papirapi/Few_shot-learning-for-Object-Detection

Few-shot Object Detection via Feature Reweighting

https://github.com/ViTAE-Transformer/ViTDet

Exploring Plain Vision Transformer Backbones for Object Detection

https://github.com/YoungXIAO13/FewShotDetection

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

https://github.com/YoungXIAO13/PoseContrast

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

https://github.com/alibaba/EasyCV

Exploring Plain Vision Transformer Backbones for Object Detection

https://github.com/brown-palm/ObjectPrompt

Grounded Language-Image Pre-training

https://github.com/chenxy99/AttFDNet

Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection

https://github.com/dali92002/htrbymatching

A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition

https://github.com/ducminhkhoi/FAPIS

One-Shot Instance Segmentation

https://github.com/dyabel/wsod-mmdet

Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection

https://github.com/eric-ai-lab/pevit

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

https://github.com/fanq15/FSOD-code

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

https://github.com/fanq15/Few-Shot-Object-Detection-Dataset

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

https://github.com/fsna2022/fsna

Frustratingly Simple Few-Shot Object Detection

https://github.com/futureisatyourhand/Top-Related-Meta-Learning-Method-for-Few-Shot-Detection

Top-Related Meta-Learning Method for Few-Shot Object Detection

https://github.com/gaobb/DCFS

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation

https://github.com/griffbr/VOSVS

Mobile Robot Manipulation using Pure Object Detection

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