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Semantic Generative Augmentations for Few-Shot Counting

Semantic Generative Augmentations for Few-Shot Counting

26 October 2023
Perla Doubinsky
Nicolas Audebert
M. Crucianu
Hervé Le Borgne
    VLM
    DiffM
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Papers citing "Semantic Generative Augmentations for Few-Shot Counting"

6 / 6 papers shown
Title
A Survey of Data Synthesis Approaches
A Survey of Data Synthesis Approaches
Hsin-Yu Chang
Pei-Yu Chen
Tun-Hsiang Chou
Chang-Sheng Kao
Hsuan-Yun Yu
Yen-Ting Lin
Yun-Nung Chen
40
6
0
04 Jul 2024
Learning from Exemplars for Interactive Image Segmentation
Learning from Exemplars for Interactive Image Segmentation
Kun Li
Hao Cheng
G. Vosselman
Michael Ying Yang
VLM
36
1
0
17 Jun 2024
A Survey on Data Augmentation in Large Model Era
A Survey on Data Augmentation in Large Model Era
Yue Zhou
Chenlu Guo
Xu Wang
Yi-Ju Chang
Yuan Wu
LM&MA
VLM
49
23
0
27 Jan 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
281
4,244
0
30 Jan 2023
Few-shot Object Counting with Similarity-Aware Feature Enhancement
Few-shot Object Counting with Similarity-Aware Feature Enhancement
Zhiyuan You
Kai Yang
Wenhan Luo
X. Lu
Lei Cui
Xinyi Le
39
67
0
22 Jan 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
308
7,443
0
11 Nov 2021
1