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Rethinking Prompting Strategies for Multi-Label Recognition with Partial
  Annotations

Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations

12 September 2024
Samyak Rawlekar
Shubhang Bhatnagar
Narendra Ahuja
    VLM
ArXiv (abs)PDFHTML

Papers citing "Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations"

36 / 36 papers shown
Title
Improving Multi-label Recognition using Class Co-Occurrence
  Probabilities
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
VLM
104
6
0
24 Apr 2024
Piecewise-Linear Manifolds for Deep Metric Learning
Piecewise-Linear Manifolds for Deep Metric Learning
Shubhang Bhatnagar
Narendra Ahuja
110
4
0
22 Mar 2024
Vision-by-Language for Training-Free Compositional Image Retrieval
Vision-by-Language for Training-Free Compositional Image Retrieval
Shyamgopal Karthik
Karsten Roth
Massimiliano Mancini
Zeynep Akata
CoGe
92
61
0
13 Oct 2023
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition
  with Limited Annotations
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations
Ping Hu
Ximeng Sun
Stan Sclaroff
Kate Saenko
VLM
81
24
0
03 Aug 2023
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image
  Classification
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
R. Abdelfattah
Qing Guo
Xiaoguang Li
Xiang Wang
Song Wang
VLM
75
32
0
31 Jul 2023
Exploring Structured Semantic Prior for Multi Label Recognition with
  Incomplete Labels
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Zixuan Ding
Ao Wang
Hui Chen
Qiaosheng Zhang
Pengzhang Liu
Yongjun Bao
Weipeng P. Yan
Jungong Han
60
28
0
23 Mar 2023
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Zixian Guo
Bowen Dong
Zhilong Ji
Jinfeng Bai
Yiwen Guo
W. Zuo
VLMVPVLM
100
60
0
23 Nov 2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Renrui Zhang
Zhang Wei
Rongyao Fang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
125
317
0
19 Jul 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited
  Annotations
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
Ximeng Sun
Ping Hu
Kate Saenko
VLM
98
125
0
20 Jun 2022
Semantic-Aware Representation Blending for Multi-Label Image Recognition
  with Partial Labels
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Tao Pu
Tianshui Chen
Hefeng Wu
Liang Lin
103
41
0
04 Mar 2022
A Simple Baseline for Open-Vocabulary Semantic Segmentation with
  Pre-trained Vision-language Model
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model
Mengde Xu
Zheng Zhang
Fangyun Wei
Yutong Lin
Yue Cao
Han Hu
Xiang Bai
VLM
129
226
0
29 Dec 2021
Structured Semantic Transfer for Multi-Label Recognition with Partial
  Labels
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels
Tianshui Chen
Tao Pu
Hefeng Wu
Yuan Xie
Liang Lin
77
59
0
21 Dec 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Christoph Schuhmann
Richard Vencu
Romain Beaumont
R. Kaczmarczyk
Clayton Mullis
Aarush Katta
Theo Coombes
J. Jitsev
Aran Komatsuzaki
VLMMLLMCLIP
243
1,444
0
03 Nov 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao
Shijie Geng
Renrui Zhang
Teli Ma
Rongyao Fang
Yongfeng Zhang
Hongsheng Li
Yu Qiao
VLMCLIP
324
1,050
0
09 Oct 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
MLLMVPVLMVLM
281
224
0
24 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
161
739
0
04 Sep 2021
Residual Attention: A Simple but Effective Method for Multi-Label
  Recognition
Residual Attention: A Simple but Effective Method for Multi-Label Recognition
Ke Zhu
Jianxin Wu
88
138
0
05 Aug 2021
Extreme Multi-label Learning for Semantic Matching in Product Search
Extreme Multi-label Learning for Semantic Matching in Product Search
Wei-Cheng Chang
Daniel Jiang
Hsiang-Fu Yu
C. Teo
Jiong Zhang
...
Qie Hu
Nikhil Shandilya
Vyacheslav Ievgrafov
Japinder Singh
Inderjit S. Dhillon
79
60
0
23 Jun 2021
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive Labels
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
83
114
0
17 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
999
29,926
0
26 Feb 2021
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
92
542
0
29 Sep 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image
  Recognition
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Tianshui Chen
Liang Lin
Riquan Chen
X. Hui
Hefeng Wu
84
155
0
20 Sep 2020
Learning to Discover Multi-Class Attentional Regions for Multi-Label
  Image Recognition
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
Bin-Bin Gao
Hong-Yu Zhou
50
115
0
03 Jul 2020
Orderless Recurrent Models for Multi-label Classification
Orderless Recurrent Models for Multi-label Classification
V. O. Yazici
Abel Gonzalez-Garcia
Arnau Ramisa
Bartlomiej Twardowski
Joost van de Weijer
SSL
95
93
0
22 Nov 2019
Multi-Label Classification with Label Graph Superimposing
Multi-Label Classification with Label Graph Superimposing
Ya Wang
Dongliang He
Fu Li
Xiang Long
Zhichao Zhou
Jinwen Ma
Shilei Wen
77
169
0
21 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
260
3,505
0
30 Sep 2019
Learning Semantic-Specific Graph Representation for Multi-Label Image
  Recognition
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen
Muxi Xu
X. Hui
Hefeng Wu
Liang Lin
78
289
0
20 Aug 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
115
1,001
0
07 Apr 2019
Learning a Deep ConvNet for Multi-label Classification with Partial
  Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
84
233
0
26 Feb 2019
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
205
1,370
0
02 May 2018
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
137
3,775
0
15 Aug 2017
Semantic Regularisation for Recurrent Image Annotation
Semantic Regularisation for Recurrent Image Annotation
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
83
104
0
16 Nov 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
SSL
98
1,163
0
15 Apr 2016
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy
  Human-Centric Labels
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
Ishan Misra
C. L. Zitnick
Margaret Mitchell
Ross B. Girshick
NoLa
66
219
0
22 Dec 2015
Learning Visual Features from Large Weakly Supervised Data
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin
Laurens van der Maaten
Allan Jabri
Nicolas Vasilache
SSL
109
408
0
06 Nov 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,875
0
01 May 2014
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