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Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale
  Approach

Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach

17 April 2024
Mir Rayat Imtiaz Hossain
Mennatullah Siam
Leonid Sigal
James J. Little
    VLM
ArXivPDFHTML

Papers citing "Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach"

6 / 6 papers shown
Title
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Changchang Sun
Ren Wang
Yihua Zhang
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Sijia Liu
Yan Yan
AAML
MU
87
0
0
21 Dec 2024
FS-DETR: Few-Shot DEtection TRansformer with prompting and without
  re-training
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
Adrian Bulat
Ricardo Guerrero
Brais Martínez
Georgios Tzimiropoulos
26
30
0
10 Oct 2022
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
163
186
0
11 Dec 2020
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
535
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
151
440
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
237
11,568
0
09 Mar 2017
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