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Distilling Self-Supervised Vision Transformers for Weakly-Supervised
  Few-Shot Classification & Segmentation

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation

7 July 2023
Dahyun Kang
Piotr Koniusz
Minsu Cho
Naila Murray
    VLM
    ViT
ArXivPDFHTML

Papers citing "Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation"

14 / 14 papers shown
Title
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Amirreza Fateh
Mohammad Reza Mohammadi
Mohammad Reza Jahed Motlagh
ViT
66
5
0
31 Dec 2024
Contrastive Mean-Shift Learning for Generalized Category Discovery
Contrastive Mean-Shift Learning for Generalized Category Discovery
Sua Choi
Dahyun Kang
Minsu Cho
24
10
0
15 Apr 2024
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action
  Recognition
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition
Lei Wang
Piotr Koniusz
37
27
0
30 Oct 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni
Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
161
195
0
29 Sep 2021
PFENet++: Boosting Few-shot Semantic Segmentation with the
  Noise-filtered Context-aware Prior Mask
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo
Zhuotao Tian
Taiping Zhang
Bei Yu
Yuan Yan Tang
Jiaya Jia
39
37
0
28 Sep 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu
Xiangxi Shi
Guosheng lin
Jianfei Cai
VLM
53
108
0
06 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,538
0
24 Feb 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
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
Revisiting the Sibling Head in Object Detector
Revisiting the Sibling Head in Object Detector
Guanglu Song
Yu Liu
Xiaogang Wang
ObjD
165
343
0
17 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
158
339
0
09 Mar 2020
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
243
11,568
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
279
39,083
0
01 Sep 2014
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