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The objective of Audio-Visual Segmentation (AVS) is to localise the sounding objects within visual scenes by accurately predicting pixel-wise segmentation masks.
Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
Earlier work this paper cites.
Audio set: An ontology and human-labeled dataset for audio events
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter · 2017
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Cnn architectures for large-scale audio classification
Shawn Hershey, Sourish Chaudhuri, Daniel PW Ellis, Jort F Gemmeke, Aren Jansen, R Channing Moore, Manoj Plakal, Devin Platt, Rif A Saurous, Bryan Seybold, et al · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Looking to listen at the cocktail party: a speaker-independent audio-visual model for speech separation
Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, and Michael Rubinstein · 2018
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Audio-visual scene analysis with self-supervised multisensory features
Andrew Owens and Alexei A Efros · 2018
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Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi, Hakan Bilen, and Andrea Vedaldi · 2018
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Learning to localize sound source in visual scenes
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, and In So Kweon · 2018
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The sound of pixels
Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh McDermott, and Antonio Torralba · 2018
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Lvis: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
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Parameter-efficient transfer learning for nlp
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly · 2019
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Deep multimodal clustering for unsupervised audiovisual learning
Di Hu, Feiping Nie, and Xuelong Li · 2019
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Epic-fusion: Audio-visual temporal binding for egocentric action recognition
Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, and Dima Damen · 2019
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Dual-modality seq2seq network for audio-visual event localization
Yan-Bo Lin, Yu-Jhe Li, and Yu-Chiang Frank Wang · 2019
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Self-supervised audio-visual co-segmentation
Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh McDermott, and Antonio Torralba · 2019
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Bert and pals: Projected attention layers for efficient adaptation in multi-task learning
Asa Cooper Stickland and Iain Murray · 2019
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The sound of motions
Hang Zhao, Chuang Gan, Wei-Chiu Ma, and Antonio Torralba · 2019
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Vggsound: A large-scale audio-visual dataset
Honglie Chen, Weidi Xie, Andrea Vedaldi, and Andrew Zisserman · 2020
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Discriminative sounding objects localization via self-supervised audiovisual matching
Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, and Dejing Dou · 2020
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The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, et al · 2020
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Cross-attentional audio-visual fusion for weakly-supervised action localization
Jun-Tae Lee, Mihir Jain, Hyoungwoo Park, and Sungrack Yun · 2020
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Parameter efficient multimodal transformers for video representation learning
Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz, and Yale Song · 2020
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Making a case for 3d convolutions for object segmentation in videos
Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe, and Sebastian Hennen · 2020
Earlier work this paper cites.
Multiple sound sources localization from coarse to fine
Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, and Weiyao Lin · 2020
Earlier work this paper cites.
Unified multisensory perception: Weakly-supervised audio-visual video parsing
Yapeng Tian, Dingzeyu Li, and Chenliang Xu · 2020
Cited alongside, same era.
Localizing visual sounds the hard way
Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, and Andrew Zisserman · 2021
Cited alongside, same era.
Sstvos: Sparse spatiotemporal transformers for video object segmentation
Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, and Graham W Taylor · 2021
Cited alongside, same era.
Visualvoice: Audio-visual speech separation with cross-modal consistency
Ruohan Gao and Kristen Grauman · 2021
Cited alongside, same era.
Class-aware sounding objects localization via audiovisual correspondence
Di Hu, Yake Wei, Rui Qian, Weiyao Lin, Ruihua Song, and Ji-Rong Wen · 2021
Cited alongside, same era.
Compacter: Efficient low-rank hypercomplex adapter layers
Rabeeh Karimi Mahabadi, James Henderson, and Sebastian Ruder · 2021
Segment anything in 3d with nerfs
Jiazhong Cen, Zanwei Zhou, Jiemin Fang, Wei Shen, Lingxi Xie, Dongsheng Jiang, Xiaopeng Zhang, and Qi Tian · 2023
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Segment anything model (SAM) enhanced pseudo labels for weakly supervised semantic segmentation
Tianle Chen, Zheda Mai, Ruiwen Li, and Wei-Lun Chao · 2023
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Tianrun Chen, Lanyun Zhu, Chaotao Ding, Runlong Cao, Shangzhan Zhang, Yan Wang, Zejian Li, Lingyun Sun, Papa Mao, and Ying Zang · 2023
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SAM on medical images: A comprehensive study on three prompt modes
Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, and Kang Li · 2023
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Cited alongside, same era.
Unsupervised sound localization via iterative contrastive learning
Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, and Ming-Hsuan Yang · 2021
Cited alongside, same era.
Transformer transforms salient object detection and camouflaged object detection
Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, and Nick Barnes · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
An image is worth 16x16 words, what is a video worth?
Gilad Sharir, Asaf Noy, and Lihi Zelnik-Manor · 2021
Cited alongside, same era.
Learning generative vision transformer with energy-based latent space for saliency prediction
Jing Zhang, Jianwen Xie, Nick Barnes, and Ping Li · 2021
Cited alongside, same era.
Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
Cited alongside, same era.
Yifan Gao, Wei Xia, Dingdu Hu, and Xin Gao · 2023
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Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, and Xiu Li · 2023
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SAM struggles in concealed scenes - empirical study on ”segment anything”
Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, and Luc Van Gool · 2023
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Segment anything is not always perfect: An investigation of SAM on different real-world applications
Wei Ji, Jingjing Li, Qi Bi, Wenbo Li, and Li Cheng · 2023
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Segment anything is A good pseudo-label generator for weakly supervised semantic segmentation
Peng-Tao Jiang and Yuqi Yang · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Vision transformers are parameter-efficient audio-visual learners
Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, and Gedas Bertasius · 2023
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Explicit visual prompting for low-level structure segmentations
Weihuang Liu, Xi Shen, Chi-Man Pun, and Xiaodong Cun · 2023
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Segment any point cloud sequences by distilling vision foundation models
Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, and Ziwei Liu · 2023
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Matcher: Segment anything with one shot using all-purpose feature matching
Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, and Chunhua Shen · 2023
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Segment anything in medical images
Jun Ma and Bo Wang · 2023
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Av-sam: Segment anything model meets audio-visual localization and segmentation
Shentong Mo and Yapeng Tian · 2023
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Autosam: Adapting SAM to medical images by overloading the prompt encoder
Tal Shaharabany, Aviad Dahan, Raja Giryes, and Lior Wolf · 2023
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Can sam segment anything? when sam meets camouflaged object detection
Lv Tang, Haoke Xiao, and Bo Li · 2023
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SAM meets robotic surgery: An empirical study in robustness perspective
An Wang, Mobarakol Islam, Mengya Xu, Yang Zhang, and Hongliang Ren · 2023
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Detect any shadow: Segment anything for video shadow detection
Yonghui Wang, Wengang Zhou, Yunyao Mao, and Houqiang Li · 2023
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Medical SAM adapter: Adapting segment anything model for medical image segmentation
Junde Wu, Rao Fu, Huihui Fang, Yuanpei Liu, Zhaowei Wang, Yanwu Xu, Yueming Jin, and Tal Arbel · 2023
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Personalize segment anything model with one shot
Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Peng Gao, and Hongsheng Li · 2023
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Sam-helps-shadow: When segment anything model meet shadow removal
Xiaofeng Zhang, Chaochen Gu, and Shanying Zhu · 2023
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