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[CLS] Token is All You Need for Zero-Shot Semantic Segmentation

[CLS] Token is All You Need for Zero-Shot Semantic Segmentation

13 April 2023
Letian Wu
Wenya Zhang
Tengping Jiang
Wankou Yang
Xin Jin
Wenjun Zeng
    VLM
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Papers citing "[CLS] Token is All You Need for Zero-Shot Semantic Segmentation"

6 / 6 papers shown
Title
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic
  Segmentation
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation
Tong Shao
Zhuotao Tian
Hang Zhao
Jingyong Su
VLM
29
14
0
11 Jul 2024
Multi-Label Plant Species Classification with Self-Supervised Vision
  Transformers
Multi-Label Plant Species Classification with Self-Supervised Vision Transformers
Murilo Gustineli
Anthony Miyaguchi
Ian Stalter
23
3
0
08 Jul 2024
Robust Optimization in Protein Fitness Landscapes Using Reinforcement
  Learning in Latent Space
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
Minji Lee
L. Vecchietti
Hyunkyu Jung
Hyun Joo Ro
Meeyoung Cha
Ho Min Kim
24
4
0
29 May 2024
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
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
280
3,835
0
18 Apr 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
169
187
0
11 Dec 2020
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