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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/guangxinghan/fct

공식 코드

Few-Shot Object Detection with Fully Cross-Transformer

https://github.com/guangxinghan/meta-faster-r-cnn

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Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

https://github.com/hanyue1648/reft

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Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation

https://github.com/hlings/acrofod

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AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection

https://github.com/hzhupku/DCNet

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Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection

https://github.com/idea-research/grounding-dino-1.5-api

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Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

https://github.com/imnotprepared/airshot

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AirShot: Efficient Few-Shot Detection for Autonomous Exploration

https://github.com/infinity7428/hANMCL

공식 코드

Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning

https://github.com/jaraxxus-me/airdet

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AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration

https://github.com/jaychempan/ETS

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Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection

https://github.com/jiaxi-wu/MPSR

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

https://github.com/jin-s13/unifs

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UniFS: Universal Few-shot Instance Perception with Point Representations

https://github.com/johnmaijer/x-few-_cd-fsod

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NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

https://github.com/juliozhao97/efftrans_fsdet

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Exploring Effective Knowledge Transfer for Few-shot Object Detection

https://github.com/leenamx/ge-fsod

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Generalization-Enhanced Few-Shot Object Detection in Remote Sensing

https://github.com/lexisnexis-risk-open-source/ledetection

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LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection

https://github.com/lexisnexis-risk-open-source/simltd

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SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection

https://github.com/liewfeng/imted

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Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

https://github.com/liuweijie19980216/DRL-for-FSOD

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Dynamic Relevance Learning for Few-Shot Object Detection

https://github.com/liuziyu77/visual-rft

공식 코드

Visual-RFT: Visual Reinforcement Fine-Tuning

https://github.com/lovelyqian/CDFSOD-benchmark

공식 코드

Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector

https://github.com/lovelyqian/ntire2025_cdfsod

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NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

https://github.com/lyanna4869/InfRS

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InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images

https://github.com/microsoft/GLIP

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Grounded Language-Image Pre-training

https://github.com/miquel-espinosa/no-time-to-train

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No time to train! Training-Free Reference-Based Instance Segmentation

https://github.com/mlzxy/devit

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Detect Everything with Few Examples

https://github.com/nvakhoa/mpad

공식 코드

Multi-Perspective Data Augmentation for Few-shot Object Detection

https://github.com/phoenix-v/digeo

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DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

https://github.com/pierlj/aaf_framework

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A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images

https://github.com/prannaykaul/lvc

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Label, Verify, Correct: A Simple Few Shot Object Detection Method

https://github.com/pumpkinder/glip-cdfsod

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NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

https://github.com/rsCPSyEu/ovd_cod

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Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability

https://github.com/sauradip/muppet

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Multi-Modal Few-Shot Temporal Action Detection

https://github.com/tmiu/itfa

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Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach

https://github.com/ucbdrive/few-shot-object-detection

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Frustratingly Simple Few-Shot Object Detection

https://github.com/vinairesearch/counting-detr

공식 코드

Few-shot Object Counting and Detection

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