ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.04316
  4. Cited By
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot
  Learning

SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning

8 November 2021
Fengyuan Yang
Ruiping Wang
Xilin Chen
    VLM
ArXivPDFHTML

Papers citing "SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning"

16 / 16 papers shown
Title
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
67
3
0
20 Jul 2024
Dual-View Data Hallucination with Semantic Relation Guidance for
  Few-Shot Image Recognition
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition
Hefeng Wu
Guangzhi Ye
Ziyang Zhou
Ling Tian
Qing Wang
Liang Lin
24
3
0
13 Jan 2024
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot
  Learning
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
G. Lioi
Lukas Mauch
Fabien Cardinaux
G. B. Hacene
21
0
0
24 Nov 2023
LPN: Language-guided Prototypical Network for few-shot classification
LPN: Language-guided Prototypical Network for few-shot classification
Kaihui Cheng
Chule Yang
Xiao Liu
Naiyang Guan
Zhiyuan Wang
39
0
0
04 Jul 2023
Norm-guided latent space exploration for text-to-image generation
Norm-guided latent space exploration for text-to-image generation
Dvir Samuel
Rami Ben-Ari
N. Darshan
Haggai Maron
Gal Chechik
DiffM
29
24
0
14 Jun 2023
Compositional Prototypical Networks for Few-Shot Classification
Compositional Prototypical Networks for Few-Shot Classification
Qiang Lyu
Weiqiang Wang
18
9
0
11 Jun 2023
Generating images of rare concepts using pre-trained diffusion models
Generating images of rare concepts using pre-trained diffusion models
Dvir Samuel
Rami Ben-Ari
Simon Raviv
N. Darshan
Gal Chechik
135
38
0
27 Apr 2023
Semantic-visual Guided Transformer for Few-shot Class-incremental
  Learning
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
Wen-Qiang Qiu
Sichao Fu
Jingyi Zhang
Chengxiang Lei
Qinmu Peng
27
11
0
27 Mar 2023
Co-Occurrence Matters: Learning Action Relation for Temporal Action
  Localization
Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization
Congqi Cao
Yizhe Wang
Yuelie Lu
X. Zhang
Yanning Zhang
28
4
0
15 Mar 2023
Disentangled Generation with Information Bottleneck for Few-Shot
  Learning
Disentangled Generation with Information Bottleneck for Few-Shot Learning
Zhuohang Dang
Jihong Wang
Minnan Luo
Chengyou Jia
Caixia Yan
Qinghua Zheng
24
1
0
29 Nov 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic
  Disorders
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Ömer Sümer
Fabio Hellmann
Alexander Hustinx
Tzung-Chien Hsieh
Elisabeth André
P. Krawitz
CVBM
15
7
0
23 Oct 2022
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation
  Classification
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification
Chunliu Dou
Shaojuan Wu
Xiaowang Zhang
Zhiyong Feng
Kewen Wang
8
10
0
26 Apr 2022
Taking Modality-free Human Identification as Zero-shot Learning
Taking Modality-free Human Identification as Zero-shot Learning
Zhizhe Liu
Xingxing Zhang
Zhenfeng Zhu
Shuai Zheng
Yao Zhao
Jian Cheng
20
4
0
02 Oct 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
629
0
17 Oct 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
317
11,681
0
09 Mar 2017
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
233
31,253
0
16 Jan 2013
1