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Waffling around for Performance: Visual Classification with Random Words
  and Broad Concepts

Waffling around for Performance: Visual Classification with Random Words and Broad Concepts

12 June 2023
Karsten Roth
Jae Myung Kim
A. Sophia Koepke
Oriol Vinyals
Cordelia Schmid
Zeynep Akata
    VLM
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Papers citing "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"

14 / 14 papers shown
Title
ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
Xiangyan Qu
Gaopeng Gou
Jiamin Zhuang
Jing Yu
Kun Song
Qihao Wang
Yili Li
Gang Xiong
VLM
75
0
0
13 Mar 2025
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
Divyansh Srivastava
Beatriz Cabrero-Daniel
Christian Berger
VLM
57
8
0
17 Jan 2025
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections
Mohamed Fazli Mohamed Imam
Rufael Fedaku Marew
Jameel Hassan
M. Fiaz
Alham Fikri Aji
Hisham Cholakkal
VLM
79
0
0
28 Nov 2024
Tree of Attributes Prompt Learning for Vision-Language Models
Tree of Attributes Prompt Learning for Vision-Language Models
Tong Ding
Wanhua Li
Zhongqi Miao
Hanspeter Pfister
VLM
50
1
0
15 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
Muhammad Jehanzeb Mirza
Mengjie Zhao
Zhuoyuan Mao
Sivan Doveh
Wei Lin
...
Yuki Mitsufuji
Horst Possegger
Rogerio Feris
Leonid Karlinsky
James Glass
VLM
74
1
0
08 Oct 2024
Visual-O1: Understanding Ambiguous Instructions via Multi-modal
  Multi-turn Chain-of-thoughts Reasoning
Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning
Minheng Ni
Yutao Fan
Lei Zhang
Wangmeng Zuo
LRM
AI4CE
21
6
0
04 Oct 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting,
  and Transportation
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu
Yuyang Ji
Zhiyu Zhao
Gangshan Wu
Limin Wang
VLM
39
7
0
05 Jul 2024
Embracing Diversity: Interpretable Zero-shot classification beyond one
  vector per class
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class
Mazda Moayeri
Michael G. Rabbat
Mark Ibrahim
Diane Bouchacourt
VLM
35
1
0
25 Apr 2024
Training-Free Semantic Segmentation via LLM-Supervision
Training-Free Semantic Segmentation via LLM-Supervision
Wenfang Sun
Yingjun Du
Gaowen Liu
Ramana Rao Kompella
Cees G. M. Snoek
VLM
29
2
0
31 Mar 2024
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language
  Models
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu
Weili Nie
De-An Huang
Zhiding Yu
Tom Goldstein
Anima Anandkumar
Chaowei Xiao
VLM
VPVLM
169
278
0
15 Sep 2022
What does a platypus look like? Generating customized prompts for
  zero-shot image classification
What does a platypus look like? Generating customized prompts for zero-shot image classification
Sarah M Pratt
Ian Covert
Rosanne Liu
Ali Farhadi
VLM
119
211
0
07 Sep 2022
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
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
236
206
0
17 Feb 2021
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
160
841
0
17 May 2016
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