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Robust Multimodal Segmentation with Representation Regularization and Hybrid Prototype Distillation

Robust Multimodal Segmentation with Representation Regularization and Hybrid Prototype Distillation

19 May 2025
Jiaqi Tan
Xu Zheng
Yuhang Liu
ArXiv (abs)PDFHTML

Papers citing "Robust Multimodal Segmentation with Representation Regularization and Hybrid Prototype Distillation"

32 / 32 papers shown
Title
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness
Chenfei Liao
Kaiyu Lei
Xu Zheng
Junha Moon
Zhixiong Wang
Yansen Wang
Danda Pani Paudel
Luc Van Gool
Xuming Hu
VLM
135
8
0
24 Mar 2025
Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook
Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook
Xu Zheng
Ziqiao Weng
Yuanhuiyi Lyu
Lutao Jiang
Haiwei Xue
Bin Ren
Danda Pani Paudel
N. Sebe
Luc Van Gool
Xuming Hu
3DV
135
10
0
23 Mar 2025
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
Ding Zhong
Xu Zheng
Chenfei Liao
Yuanhuiyi Lyu
Jialei Chen
Shengyang Wu
Linfeng Zhang
Xuming Hu
VLM
115
10
0
10 Mar 2025
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
Chenfei Liao
Xu Zheng
Yuanhuiyi Lyu
Haiwei Xue
Yihong Cao
Jiawen Wang
Kailun Yang
Xuming Hu
VLM
124
9
0
09 Mar 2025
Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance
Jiayi Zhao
Fei Teng
Kai Luo
Guoqiang Zhao
Zehan Li
Xu Zheng
Kailun Yang
VLM
119
7
0
04 Mar 2025
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation
  via Hierarchical Modality Selection
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection
Xu Zheng
Yuanhuiyi Lyu
Lutao Jiang
Jiazhou Zhou
Lin Wang
Xuming Hu
132
8
0
22 Dec 2024
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal
  Semantic Segmentation
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
Yue Duan
Zhangxuan Gu
ZhenZhe Ying
Changhua Meng
Xuelong Li
78
6
0
02 Aug 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point
  Cloud Self-Supervised Learning
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren
Guofeng Mei
D. Paudel
Weijie Wang
Yawei Li
Mengyuan Liu
Rita Cucchiara
Luc Van Gool
N. Sebe
3DPC
108
14
0
08 Jul 2024
Chasing Day and Night: Towards Robust and Efficient All-Day Object
  Detection Guided by an Event Camera
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera
Jiahang Cao
Xueye Zheng
Yuanhuiyi Lyu
Jiaxu Wang
Renjing Xu
Lin Wang
89
17
0
17 Sep 2023
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
Wenke Xia
Xingjian Li
Andong Deng
Haoyi Xiong
Dejing Dou
Di Hu
59
5
0
16 Apr 2023
Prototype Knowledge Distillation for Medical Segmentation with Missing
  Modality
Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
Shuai Wang
Zipei Yan
Daoan Zhang
Haining Wei
Zhong Li
Ruizhen Li
65
42
0
17 Mar 2023
Delivering Arbitrary-Modal Semantic Segmentation
Delivering Arbitrary-Modal Semantic Segmentation
Jiaming Zhang
R. Liu
Haowen Shi
Kailun Yang
Simon Reiß
Kunyu Peng
Haodong Fu
Kaiwei Wang
Rainer Stiefelhagen
VLM
110
100
0
02 Mar 2023
Balanced Multimodal Learning via On-the-fly Gradient Modulation
Balanced Multimodal Learning via On-the-fly Gradient Modulation
Xiaokang Peng
Yake Wei
Andong Deng
Dong Wang
Di Hu
83
214
0
29 Mar 2022
Rethinking Semantic Segmentation: A Prototype View
Rethinking Semantic Segmentation: A Prototype View
Tianfei Zhou
Wenguan Wang
E. Konukoglu
Luc Van Gool
SSeg
114
274
0
28 Mar 2022
Modality Competition: What Makes Joint Training of Multi-modal Network
  Fail in Deep Learning? (Provably)
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
Yu Huang
Junyang Lin
Chang Zhou
Hongxia Yang
Longbo Huang
60
96
0
23 Mar 2022
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with
  Transformers
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Jiaming Zhang
Huayao Liu
Kailun Yang
Xinxin Hu
Ruiping Liu
Rainer Stiefelhagen
ViT
91
328
0
09 Mar 2022
FSNet: A Failure Detection Framework for Semantic Segmentation
FSNet: A Failure Detection Framework for Semantic Segmentation
Q. Rahman
Niko Sünderhauf
Peter Corke
Feras Dayoub
UQCVSSeg
68
20
0
19 Aug 2021
What Makes Multi-modal Learning Better than Single (Provably)
What Makes Multi-modal Learning Better than Single (Provably)
Yu Huang
Chenzhuang Du
Zihui Xue
Xuanyao Chen
Hang Zhao
Longbo Huang
96
267
0
08 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
332
5,095
0
31 May 2021
Segmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
Robin Strudel
Ricardo Garcia Pinel
Ivan Laptev
Cordelia Schmid
ViT
218
1,474
0
12 May 2021
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
Yanbei Chen
Yongqin Xian
A. Sophia Koepke
Ying Shan
Zeynep Akata
141
83
0
22 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in
  Visual Question Answering
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
Corentin Dancette
Rémi Cadène
Damien Teney
Matthieu Cord
CML
83
78
0
07 Apr 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
194
2,912
0
31 Dec 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing
  Functional Entropies
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat
Idan Schwartz
Alex Schwing
Tamir Hazan
101
92
0
21 Oct 2020
Lidar for Autonomous Driving: The principles, challenges, and trends for
  automotive lidar and perception systems
Lidar for Autonomous Driving: The principles, challenges, and trends for automotive lidar and perception systems
You Li
J. Ibañez-Guzmán
71
557
0
17 Apr 2020
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
182
2,412
0
13 Jun 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
490
13,194
0
07 Feb 2018
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
491
22,158
0
09 Dec 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
755
37,927
0
20 May 2016
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
244
4,180
0
17 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
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLMMDE
214
2,684
0
18 Nov 2014
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