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Improving Multi-label Recognition using Class Co-Occurrence
  Probabilities

Improving Multi-label Recognition using Class Co-Occurrence Probabilities

24 April 2024
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
    VLM
ArXivPDFHTML

Papers citing "Improving Multi-label Recognition using Class Co-Occurrence Probabilities"

10 / 10 papers shown
Title
SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models
SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models
Kevin Miller
Samarth Mishra
Aditya Gangrade
Kate Saenko
Venkatesh Saligrama
VLM
39
0
0
24 Feb 2025
Disentangling CLIP Features for Enhanced Localized Understanding
Disentangling CLIP Features for Enhanced Localized Understanding
Samyak Rawelekar
Yujun Cai
Yiwei Wang
Ming-Hsuan Yang
N. Ahuja
VLM
CoGe
65
0
0
05 Feb 2025
Rethinking Prompting Strategies for Multi-Label Recognition with Partial
  Annotations
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
Samyak Rawlekar
Shubhang Bhatnagar
Narendra Ahuja
VLM
18
1
0
12 Sep 2024
Potential Field Based Deep Metric Learning
Potential Field Based Deep Metric Learning
Shubhang Bhatnagar
Narendra Ahuja
29
1
0
28 May 2024
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation
  Including the Unseen
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
Hao Zhang
Fang Li
Lu Qi
Ming-Hsuan Yang
Narendra Ahuja
39
11
0
09 Dec 2023
Influence-Balanced Loss for Imbalanced Visual Classification
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
79
129
0
06 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
MLLM
VPVLM
VLM
194
218
0
24 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
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,683
0
11 Feb 2021
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
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