Proposal Distribution Calibration for Few-Shot Object Detection

Proposal Distribution Calibration for Few-Shot Object Detection

15 December 2022

Papers citing "Proposal Distribution Calibration for Few-Shot Object Detection"

11 / 11 papers shown

Title
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection Anay Majee Ryan Sharp Rishabh K. Iyer 30 0 0 02 Jul 2024
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection Feng Liu Xiaosong Zhang Zhiliang Peng Zonghao Guo Fang Wan Xian-Wei Ji QiXiang Ye ObjD 43 20 0 19 May 2022
A Survey of Deep Learning for Low-Shot Object Detection Qihan Huang Haofei Zhang Mengqi Xue Jie Song Mingli Song ObjD 30 18 0 06 Dec 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning Mengnan Shi Chang-rui Liu Jianbin Jiao QiXiang Ye 13 1 0 29 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-xiong Wang ObjD 50 109 0 04 May 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection Chenchen Zhu Fangyi Chen Uzair Ahmed Zhiqiang Shen Marios Savvides ObjD 65 177 0 02 Mar 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 196 316 0 16 Jan 2021
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 151 440 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017