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. 2204.07841
  4. Cited By
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based
  Cross-Modal Prompting

Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting

16 April 2022
G. Han
Long Chen
Jiawei Ma
Shiyuan Huang
Ramalingam Chellappa
Shih-Fu Chang
    VLM
ArXivPDFHTML

Papers citing "Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting"

16 / 16 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
45
1
0
24 Mar 2024
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang
Rongyao Fang
Wei Zhang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
184
384
0
06 Nov 2021
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
Yuan Yao
Ao Zhang
Zhengyan Zhang
Zhiyuan Liu
Tat-Seng Chua
Maosong Sun
MLLM
VPVLM
VLM
194
218
0
24 Sep 2021
ActionCLIP: A New Paradigm for Video Action Recognition
ActionCLIP: A New Paradigm for Video Action Recognition
Mengmeng Wang
Jiazheng Xing
Yong Liu
VLM
149
360
0
17 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
How Much Can CLIP Benefit Vision-and-Language Tasks?
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen
Liunian Harold Li
Hao Tan
Mohit Bansal
Anna Rohrbach
Kai-Wei Chang
Z. Yao
Kurt Keutzer
CLIP
VLM
MLLM
185
403
0
13 Jul 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
52
109
0
04 May 2021
Open-vocabulary Object Detection via Vision and Language Knowledge
  Distillation
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu
Tsung-Yi Lin
Weicheng Kuo
Yin Cui
VLM
ObjD
223
897
0
28 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu
Fangyi Chen
Uzair Ahmed
Zhiqiang Shen
Marios Savvides
ObjD
71
177
0
02 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
26
83
0
01 Mar 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
328
0
22 Jul 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
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
256
1,584
0
21 Jan 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
243
11,568
0
09 Mar 2017
1