Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection

24 April 2023

Papers citing "Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection"

7 / 7 papers shown

Title
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments Yu-Yun Tseng Tanusree Sharma Lotus Zhang Abigale Stangl Leah Findlater Yang Wang Danna Gurari 61 0 0 25 Jul 2024
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-xiong Wang ObjD 52 109 0 04 May 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 962 0 13 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 169 186 0 11 Dec 2020
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 243 11,568 0 09 Mar 2017