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POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation

1 April 2025
Lanyun Zhu
Tianrun Chen
Qianxiong Xu
Xuanyi Liu
Deyi Ji
Haiyang Wu
De Wen Soh
Jing Liu
    VLMLRM
ArXiv (abs)PDFHTML

Papers citing "POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation"

28 / 28 papers shown
Title
PixelThink: Towards Efficient Chain-of-Pixel Reasoning
PixelThink: Towards Efficient Chain-of-Pixel Reasoning
Song Wang
Gongfan Fang
Lingdong Kong
Xiangtai Li
Jianyun Xu
Sheng Yang
Qiang Li
Jianke Zhu
Xinchao Wang
LRM
110
0
0
29 May 2025
Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation
Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation
Deyi Ji
Feng Zhao
Hongtao Lu
Feng Wu
Jieping Ye
110
3
0
11 Mar 2025
Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification
Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification
Lanyun Zhu
Tianrun Chen
Deyi Ji
Jieping Ye
Jing Liu
151
2
0
28 Jan 2025
Direct Preference Optimization of Video Large Multimodal Models from
  Language Model Reward
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
Ruohong Zhang
Liangke Gui
Zhiqing Sun
Yihao Feng
Keyang Xu
...
Di Fu
Chunyuan Li
Alexander G. Hauptmann
Yonatan Bisk
Yiming Yang
MLLM
127
78
0
01 Apr 2024
IBD: Alleviating Hallucinations in Large Vision-Language Models via
  Image-Biased Decoding
IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding
Lanyun Zhu
Deyi Ji
Tianrun Chen
Peng Xu
Jieping Ye
Jun Liu
MLLM
115
53
0
28 Feb 2024
GSVA: Generalized Segmentation via Multimodal Large Language Models
GSVA: Generalized Segmentation via Multimodal Large Language Models
Zhuofan Xia
Dongchen Han
Yizeng Han
Xuran Pan
Shiji Song
Gao Huang
VLM
138
68
0
15 Dec 2023
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models
  via Over-Trust Penalty and Retrospection-Allocation
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
Qidong Huang
Xiao-wen Dong
Pan Zhang
Bin Wang
Conghui He
Jiaqi Wang
Dahua Lin
Weiming Zhang
Neng H. Yu
MLLM
128
206
0
29 Nov 2023
Diffusion Model Alignment Using Direct Preference Optimization
Diffusion Model Alignment Using Direct Preference Optimization
Bram Wallace
Meihua Dang
Rafael Rafailov
Linqi Zhou
Aaron Lou
Senthil Purushwalkam
Stefano Ermon
Caiming Xiong
Shafiq Joty
Nikhil Naik
EGVM
142
287
0
21 Nov 2023
Kosmos-2: Grounding Multimodal Large Language Models to the World
Kosmos-2: Grounding Multimodal Large Language Models to the World
Zhiliang Peng
Wenhui Wang
Li Dong
Y. Hao
Shaohan Huang
Shuming Ma
Furu Wei
MLLMObjDVLM
121
764
0
26 Jun 2023
GRES: Generalized Referring Expression Segmentation
GRES: Generalized Referring Expression Segmentation
Chang Liu
Henghui Ding
Xudong Jiang
103
165
0
01 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov
Archit Sharma
E. Mitchell
Stefano Ermon
Christopher D. Manning
Chelsea Finn
ALM
389
4,169
0
29 May 2023
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Deyi Ji
Haoran Wang
Mingyuan Tao
Jianqiang Huang
Xiansheng Hua
Hongtao Lu
208
62
0
06 May 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDaVLMMLLM
571
4,925
0
17 Apr 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLMMLLM
432
4,656
0
30 Jan 2023
PACO: Parts and Attributes of Common Objects
PACO: Parts and Attributes of Common Objects
Vignesh Ramanathan
Anmol Kalia
Vladan Petrovic
Yiqian Wen
Baixue Zheng
...
Abhishek Kadian
Amir Mousavi
Yi-Zhe Song
Abhimanyu Dubey
D. Mahajan
VLM
89
105
0
04 Jan 2023
Generalized Decoding for Pixel, Image, and Language
Generalized Decoding for Pixel, Image, and Language
Xueyan Zou
Zi-Yi Dou
Jianwei Yang
Zhe Gan
Linjie Li
...
Lu Yuan
Nanyun Peng
Lijuan Wang
Yong Jae Lee
Jianfeng Gao
VLMMLLMObjD
115
259
0
21 Dec 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
272
2,385
0
02 Dec 2021
CRIS: CLIP-Driven Referring Image Segmentation
CRIS: CLIP-Driven Referring Image Segmentation
Zhaoqing Wang
Yu Lu
Qiang Li
Xunqiang Tao
Yan Guo
Ming Gong
Tongliang Liu
VLM
113
372
0
30 Nov 2021
Vision-Language Transformer and Query Generation for Referring
  Segmentation
Vision-Language Transformer and Query Generation for Referring Segmentation
Henghui Ding
Chang-rui Liu
Suchen Wang
Xudong Jiang
93
267
0
12 Aug 2021
Multi-task Collaborative Network for Joint Referring Expression
  Comprehension and Segmentation
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
Gen Luo
Yiyi Zhou
Xiaoshuai Sun
Liujuan Cao
Chenglin Wu
Cheng Deng
Rongrong Ji
ObjD
270
296
0
19 Mar 2020
A mathematical theory of semantic development in deep neural networks
A mathematical theory of semantic development in deep neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
73
271
0
23 Oct 2018
Object Hallucination in Image Captioning
Object Hallucination in Image Captioning
Anna Rohrbach
Lisa Anne Hendricks
Kaylee Burns
Trevor Darrell
Kate Saenko
202
443
0
06 Sep 2018
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
167
1,456
0
22 Jun 2018
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
234
8,494
0
17 Jun 2017
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
218
3,377
0
12 Jun 2017
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
158
1,396
0
12 Dec 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,520
0
18 May 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
218
4,898
0
22 Dec 2014
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