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Rich Semantics Improve Few-shot Learning

Rich Semantics Improve Few-shot Learning

26 April 2021
Mohamed Afham
Salman Khan
Muhammad Haris Khan
Muzammal Naseer
Fahad Shahbaz Khan
    VLM
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Papers citing "Rich Semantics Improve Few-shot Learning"

10 / 10 papers shown
Title
Cross-domain Multi-modal Few-shot Object Detection via Rich Text
Cross-domain Multi-modal Few-shot Object Detection via Rich Text
Zeyu Shangguan
Daniel Seita
Mohammad Rostami
ObjD
55
1
0
24 Mar 2024
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with
  Multimodal Models
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
20
100
0
16 Jan 2023
Improving Few-Shot Image Classification Using Machine- and
  User-Generated Natural Language Descriptions
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions
Kosuke Nishida
Kyosuke Nishida
Shuichi Nishioka
VLM
23
7
0
07 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D
  Point Cloud Understanding
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
Mohamed Afham
Isuru Dissanayake
Dinithi Dissanayake
Amaya Dharmasiri
Kanchana Thilakarathna
Ranga Rodrigo
3DPC
16
251
0
01 Mar 2022
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
227
2,431
0
04 Jan 2021
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
175
342
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
362
11,700
0
09 Mar 2017
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
170
840
0
17 May 2016
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
281
31,267
0
16 Jan 2013
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