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Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object
  Detection

Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection

22 July 2022
Shuang Wu
Wenjie Pei
Dianwen Mei
Fanglin Chen
Jiandong Tian
Guangming Lu
    VLM
    ObjD
ArXivPDFHTML

Papers citing "Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection"

11 / 11 papers shown
Title
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object
  Detection
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
ObjD
16
1
0
27 Dec 2023
Explore the Power of Synthetic Data on Few-shot Object Detection
Explore the Power of Synthetic Data on Few-shot Object Detection
Shaobo Lin
Kun Wang
Xingyu Zeng
Ruili Zhao
27
32
0
23 Mar 2023
Activating the Discriminability of Novel Classes for Few-shot
  Segmentation
Activating the Discriminability of Novel Classes for Few-shot Segmentation
Dianwen Mei
Wei Zhuo
Jiandong Tian
Guangming Lu
Wenjie Pei
VLM
30
0
0
02 Dec 2022
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
55
109
0
04 May 2021
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
94
177
0
02 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
26
84
0
01 Mar 2021
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
208
322
0
16 Jan 2021
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
75
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
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
281
11,681
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
287
39,194
0
01 Sep 2014
1