Awesome-Few-Shot-Object-Detection

Collect some papers about few-shot object detection for computer vision. Additionally, we briefly introduce the commonly used datasets for few-shot object detection.

Papers

Survey

Title	Venue	PDF
A Survey of Deep Learning for Low-Shot Object Detection	ArXiv 2022	PDF
A Unified Framework for Attention-Based Few-Shot Object Detection	ArXiv 2022	PDF

2023

Title	Venue	Dataset	PDF	CODE
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training	ICCV 2023	PASCAL VOC & MS COCO	PDF	-
σ-Adaptive Decoupled Prototype for Few-Shot Object Detection	ICCV 2023	PASCAL VOC & MS COCO & FSOD	PDF	-
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection	CVPR 2023	PASCAL VOC & MS COCO	PDF	-
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection	CVPR 2023	PASCAL VOC & MS COCO	PDF	-
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging	CVPR 2023	PASCAL VOC & MS COCO	PDF	-
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection	CVPR 2023	PASCAL VOC & MS COCO & LVIS	PDF	-
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection	AAAI 2023	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot Object Detection via Variational Feature Aggregation	AAAI 2023	PASCAL VOC & MS COCO	PDF	CODE
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective	AAAI 2023	PASCAL VOC & MS COCO	PDF	CODE

2022

Title	Venue	Dataset	PDF	CODE
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark	ECCV 2022	LVIS & MS COCO	PDF	-
AirDet: Few-Shot Detection without Fine-Tuning for Autonomous Exploration	ECCV 2022	PASCAL VOC & MS COCO	PDF	CODE
Less than Few: Self-Shot Video Instance Segmentation	ECCV 2022	MS COCO	PDF	-
Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection	ECCV 2022	PASCAL VOC & MS COCO & FSOD	PDF	CODE
VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments	ECCV 2022	PASCAL VOC & MS COCO	PDF	CODE
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection	ECCV 2022	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations	ECCV 2022	PASCAL VOC & MS COCO	PDF	-
Few-Shot Object Detection with Model Calibration	ECCV 2022	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot Video Object Detectio	ECCV 2022	FSVOD-500	PDF	CODE
Few-Shot Object Counting and Detection	ECCV 2022	FSCD-147 & FSCD-LVIS	PDF	CODE
Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection	ECCV 2022	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads	ECCV 2022	PASCAL VOC & MS COCO	PDF	-
AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection	ECCV 2022	Cityscapes & SIM10k	PDF	CODE
Kernelized Few-shot Object Detection with Efficient Integral Aggregation	CVPR 2022	PASCAL VOC & MS COCO	PDF	CODE
Label, Verify, Correct: A Simple Few Shot Object Detection Method	CVPR 2022	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot Object Detection with Fully Cross-Transformer	CVPR 2022	PASCAL VOC & MS COCO	PDF	-
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment	AAAI 2022	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot Object Detection by Attending to Per-Sample-Prototype	WACV 2022	PASCAL VOC & MS COCO	PDF	-

2021

Title	Venue	Dataset	PDF	CODE
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement	NeurIPS 2021	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot Object Detection via Association and DIscrimination	NeurIPS 2021	PASCAL VOC & MS COCO	PDF	CODE
Adaptive Image Transformer for One-Shot Object Detection	CVPR 2021	PASCAL VOC & MS COCO	PDF	CODE
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection	CVPR 2021	PASCAL VOC & MS COCO	PDF	CODE
Generalized Few-Shot Object Detection without Forgetting	CVPR 2021	PASCAL VOC & MS COCO	PDF	CODE
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection	CVPR 2021	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment	CVPR 2021	PASCAL VOC & MS COCO	PDF	-
Transformation Invariant Few-Shot Object Detection	CVPR 2021	PASCAL VOC & MS COCO	PDF	-
UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation	CVPR 2021	PASCAL VOC & MS COCO	PDF	CODE
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter	CVPR 2021	MS COCO	PDF	CODE
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection	CVPR 2021	PASCAL VOC & MS COCO	PDF	-
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding	CVPR 2021	PASCAL VOC & MS COCO	PDF	CODE
Accurate Few-shot Object Detection with Support-Query Mutual Guidance and Hybrid Loss	CVPR 2021	PASCAL VOC & MS COCO	PDF	-
Hallucination Improves Few-Shot Object Detection	CVPR 2021	PASCAL VOC & MS COCO	PDF	CODE
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks	ICCV 2021	PASCAL VOC & MS COCO	PDF	CODE
Universal-Prototype Enhancing for Few-Shot Object Detection	ICCV 2021	PASCAL VOC & MS COCO	PDF	CODE
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection	ICCV 2021	PASCAL VOC & MS COCO	PDF	CODE
Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning	ArXiv 2021	PASCAL VOC & MS COCO	PDF	CODE

2020

Title	Venue	Dataset	PDF	CODE
Restoring Negative Information in Few-Shot Object Detection	NeurIPS 2020	PASCAL VOC & ImageNet-LOC	PDF	CODE
Context-Transformer: Tackling Object Confusion for Few-Shot Detection	AAAI 2020	PASCAL VOC & MS COCO	PDF	CODE
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector	CVPR 2020	MS COCO & ImageNet-LOC	PDF	CODE
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild	ECCV 2020	PASCAL VOC & MS COCO	PDF	CODE
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection	ECCV 2020	PASCAL VOC & MS COCO	PDF	CODE
META-RCNN: META LEARNING FOR FEW-SHOT OBJECT DETECTION	ICLR 2020	PASCAL VOC & ImageNet-LOC	PDF	-
Frustratingly Simple Few-Shot Object Detection	ICML 2020	PASCAL VOC & MS COCO & LVIS	PDF	CODE

2019

Title	Venue	Dataset	PDF	CODE
Few-shot Object Detection via Feature Reweighting	ICCV 2019	PASCAL VOC & MS COCO	PDF	CODE
RepMet: Representative-based metric learning for classification and few-shot object detection	CVPR 2019	PASCAL VOC & ImageNet-LOC	PDF	CODE
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning	ICCV 2019	PASCAL VOC & MS COCO	PDF	CODE
MetaDet: Meta-Learning to Detect Rare Objects	ICCV 2019	PASCAL VOC & MS COCO	PDF	-
One-Shot Object Detection with Co-Attention and Co-Excitation	NeurIPS 2019	PASCAL VOC & MS COCO	PDF	CODE

2018

Title	Venue	Dataset	PDF	CODE
Few-example object detection with model communication	TPAMI 2018	PASCAL VOC & MS COCO & ILSVRC	PDF	-
LSTD: A Low-Shot Transfer Detector for Object Detection	AAAI 2018	PASCAL VOC & MS COCO & ImageNet2015	PDF	-

Datasets

Most few-shot object detection papers usually follow the experimental setup in 《Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning》 and 《Few-shot Object Detection via Feature Reweighting》 and conduct experiments on PASCAL VOC and MS COCO datasets.

PASCAL VOC

For Pascal VOC, the model is trained on the trainval sets of VOC 2007 and 2012, and tested on VOC 2007 test set. The dataset is partitioned into three base/novel splits, where 5 categories are selected as novel classes and others are base classes. The novel classes in each split are as follows:

Split	Novel Class
1	bird, bus, cow, mbike, sofa
2	aero, bottle, cow, horse, sofa
3	boat, cat, mbike, sheep, sofa

MS COCO

MS COCO with 80 object categories including the 20 categories in PASCAL VOC. The 20 classes included in PASCAL VOC are set as novel classes, then the rest 60 classes in COCO are as base classes. The union of 80k train images and a 35k subset of validation images (trainval35k) are used for training, and the evaluation is based on the remaining 5k val images (minival).

Acknowledgements

Thanks to Yongqiang Mao for the ideas and templates.