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SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot
  Object Detection

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection

2 July 2024
Anay Majee
Ryan Sharp
Rishabh K. Iyer
ArXivPDFHTML

Papers citing "SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection"

5 / 5 papers shown
Title
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual
  Object Detection
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
45
20
0
19 May 2022
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu
Fangyi Chen
Uzair Ahmed
Zhiqiang Shen
Marios Savvides
ObjD
102
178
0
02 Mar 2021
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
Feng Yu
ObjD
101
544
0
16 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
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
177
446
0
28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
487
11,727
0
09 Mar 2017
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