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Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following

Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following

4 June 2024
Qiaomu Miao
Alexandros Graikos
Jingwei Zhang
Sounak Mondal
Minh Hoai
Dimitris Samaras
ArXivPDFHTML

Papers citing "Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following"

13 / 13 papers shown
Title
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
Cheng-Ju Ho
Chen-Hsuan Tai
Yen-Yu Lin
Ming-Hsuan Yang
Yi-Hsuan Tsai
DiffM
48
11
0
05 Dec 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You
Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
Jun Zhu
DiffM
VLM
190
35
0
21 Feb 2023
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
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
168
49
0
30 May 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
187
410
0
16 May 2022
A Study of the Attention Abnormality in Trojaned BERTs
A Study of the Attention Abnormality in Trojaned BERTs
Weimin Lyu
Songzhu Zheng
Teng Ma
Chao Chen
51
53
0
13 May 2022
End-to-End Human-Gaze-Target Detection with Transformers
End-to-End Human-Gaze-Target Detection with Transformers
Danyang Tu
Xiongkuo Min
Huiyu Duan
G. Guo
Guangtao Zhai
Wei Shen
ViT
75
56
0
20 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
385
4,010
0
28 Jan 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
213
848
0
15 Oct 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
Detecting Attended Visual Targets in Video
Detecting Attended Visual Targets in Video
Eunji Chong
Yongxin Wang
Nataniel Ruiz
James M. Rehg
191
109
0
05 Mar 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
189
243
0
14 Jun 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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