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few-shot object detection

46 papers

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Also known as

FSOD

Co-occurring keywords

few-shot learning (3398) object detection (2762) feature learning (1311) metric learning (1190) feature aggregation (235) data augmentation (3052) prototype learning (405) transfer learning (5449) attention mechanism (4001) semi-supervised learning (2341)

Papers

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation NIPS 2022
Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks ICCV 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection ICCV 2021
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement NIPS 2021
Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection CVPR 2021
Few-Shot Object Detection via Association and DIscrimination NIPS 2021
Universal-Prototype Enhancing for Few-Shot Object Detection ICCV 2021
StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021
Transformation Invariant Few-Shot Object Detection CVPR 2021
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment CVPR 2021
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection CVPR 2021
Hallucination Improves Few-Shot Object Detection CVPR 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 2021
Generalized Few-Shot Object Detection Without Forgetting CVPR 2021
Morphable Detector for Object Detection on Demand ICCV 2021
Incremental Few-Shot Object Detection CVPR 2020
Restoring Negative Information in Few-Shot Object Detection NIPS 2020
Context-Transformer: Tackling Object Confusion for Few-Shot Detection AAAI 2020
Few-Shot Object Detection via Feature Reweighting ICCV 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019
Meta-Learning to Detect Rare Objects ICCV 2019