Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2304.06212
Cited By
[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
Re-assign community
ArXiv
PDF
HTML
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
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
Murilo Gustineli
Anthony Miyaguchi
Ian Stalter
23
3
0
08 Jul 2024
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
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
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?
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
169
187
0
11 Dec 2020
1