Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection

25 March 2022

Papers citing "Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection"

8 / 8 papers shown

Title
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach Taehyean Choi Jong-Hwan Kim ObjD 24 6 0 20 Feb 2023
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries Jinjie Mai Abdullah Hamdi Silvio Giancola Chen Zhao Bernard Ghanem EgoV 27 14 0 14 Dec 2022
Few-shot Object Detection with Refined Contrastive Learning Zeyu Shangguan Lian Huai Tong Liu Xingqun Jiang 17 7 0 24 Nov 2022
Ego4D: Around the World in 3,000 Hours of Egocentric Video Kristen Grauman Andrew Westbury Eugene Byrne Zachary Chavis Antonino Furnari ... Mike Zheng Shou Antonio Torralba Lorenzo Torresani Mingfei Yan Jitendra Malik EgoV 226 1,018 0 13 Oct 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 237 968 0 13 Dec 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 92 544 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 160 446 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017