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MM-FSOD: Meta and metric integrated few-shot object detection

MM-FSOD: Meta and metric integrated few-shot object detection

30 December 2020
Yuewen Li
W. Feng
Shuchang Lyu
Qi Zhao
Xuliang Li
    ObjD
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Papers citing "MM-FSOD: Meta and metric integrated few-shot object detection"

4 / 4 papers shown
Title
Frustratingly Simple Few-Shot Object Detection
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
Rethinking Zero-shot Video Classification: End-to-end Training for
  Realistic Applications
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
134
127
0
03 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
160
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
323
11,681
0
09 Mar 2017
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