Universal-Prototype Enhancing for Few-Shot Object Detection

Universal-Prototype Enhancing for Few-Shot Object Detection

1 March 2021

Yi Yang

Papers citing "Universal-Prototype Enhancing for Few-Shot Object Detection"

10 / 10 papers shown

Title
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection Hefei Mei Taijin Zhao Shiyuan Tang Heqian Qiu Lanxiao Wang Minjian Zhang Fanman Meng Hongliang Li ObjD 6 1 0 27 Dec 2023
Multi-modal Queried Object Detection in the Wild Yifan Xu Mengdan Zhang Chaoyou Fu Peixian Chen Xiaoshan Yang Ke Li Changsheng Xu ObjD VLM 10 29 0 30 May 2023
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection Jingyi Xu Hieu M. Le Dimitris Samaras ObjD 8 26 0 11 Apr 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation Yue Han Jiangning Zhang Zhucun Xue Chao Xu Xintian Shen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li 27 16 0 03 Jan 2023
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection Shan Zhang Naila Murray Lei Wang Piotr Koniusz ViT 16 16 0 30 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training Adrian Bulat Ricardo Guerrero Brais Martínez Georgios Tzimiropoulos 18 30 0 10 Oct 2022
A Unified Framework for Attention-Based Few-Shot Object Detection Pierre Le Jeune Anissa Zergaïnoh-Mokraoui ObjD 14 2 0 06 Jan 2022
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 75 535 0 16 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning Xiaopeng Yan Ziliang Chen Anni Xu Xiaoxi Wang Xiaodan Liang Liang Lin ObjD 149 440 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017