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In this work, we address various segmentation tasks, each traditionally tackled by distinct or partially unified models.
Contour and texture analysis for image segmentation
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Microsoft coco: Common objects in context
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V-Net: Fully convolutional neural networks for volumetric medical image segmentation
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Rethinking atrous convolution for semantic image segmentation
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Mask r-cnn
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Attention is all you need
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Semantic understanding of scenes through the ADE20K dataset
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The 2018 davis challenge on video object segmentation
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Encoder-decoder with atrous separable convolution for semantic image segmentation
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Hybrid task cascade for instance segmentation
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2019
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MMdetection: Open mmlab detection toolbox and benchmark
Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, et al · 2019
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Panoptic feature pyramid networks
Alexander Kirillov, Ross Girshick, Kaiming He, and Piotr Dollár · 2019
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Panoptic segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár · 2019
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Video object segmentation using space-time memory networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2019
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Video object segmentation using space-time memory networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2019
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Objects365: A large-scale, high-quality dataset for object detection
Shuai Shao, Zeming Li, Tianyuan Zhang, Chao Peng, Gang Yu, Xiangyu Zhang, Jing Li, and Jian Sun · 2019
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Video instance segmentation
Linjie Yang, Yuchen Fan, and Ning Xu · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation
Bowen Cheng, Maxwell D Collins, Yukun Zhu, Ting Liu, Thomas S Huang, Hartwig Adam, and Liang-Chieh Chen · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Video panoptic segmentation
Dahun Kim, Sanghyun Woo, Joon-Young Lee, and In So Kweon · 2020
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Mseg: A composite dataset for multi-domain semantic segmentation
John Lambert, Zhuang Liu, Ozan Sener, James Hays, and Vladlen Koltun · 2020
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Improving semantic segmentation via decoupled body and edge supervision
Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, and Yunhai Tong · 2020
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Semantic flow for fast and accurate scene parsing
Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, and Yunhai Tong · 2020
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Solo: Segmenting objects by locations
Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, and Lei Li · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Transunet: Transformers make strong encoders for medical image segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L Yuille, and Yuyin Zhou · 2021
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Pix2seq: A language modeling framework for object detection
Ting Chen, Saurabh Saxena, Lala Li, David J Fleet, and Geoffrey Hinton · 2021
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Mask2former for video instance segmentation
Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, and Alexander G Schwing · 2021
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Per-pixel classification is not all you need for semantic segmentation
Bowen Cheng, Alexander G. Schwing, and Alexander Kirillov · 2021
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Open-vocabulary object detection via vision and language knowledge distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, and Yin Cui · 2021
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Openclip, July 2021
Gabriel Ilharco, Mitchell Wortsman, Ross Wightman, Cade Gordon, Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, Hongseok Namkoong, John Miller, Hannaneh Hajishirzi, Ali Farhadi, and Ludwig Schmidt · 2021
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Vspw: A large-scale dataset for video scene parsing in the wild
Jiaxu Miao, Yunchao Wei, Yu Wu, Chen Liang, Guangrui Li, and Yi Yang · 2021
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Image segmentation using deep learning: A survey
Shervin Minaee, Yuri Y Boykov, Fatih Porikli, Antonio J Plaza, Nasser Kehtarnavaz, and Demetri Terzopoulos · 2021
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Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution
Siyuan Qiao, Liang-Chieh Chen, and Alan Yuille · 2021
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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
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Max-deeplab: End-to-end panoptic segmentation with mask transformers
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, and Liang-Chieh Chen · 2021
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Unidentified video objects: A benchmark for dense, open-world segmentation
Weiyao Wang, Matt Feiszli, Heng Wang, and Du Tran · 2021
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End-to-end video instance segmentation with transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, and Huaxia Xia · 2021
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Collaborative video object segmentation by multi-scale foreground-background integration
Zongxin Yang, Yunchao Wei, and Yi Yang · 2021
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VLT: Vision-language transformer and query generation for referring segmentation
Henghui Ding, Chang Liu, Suchen Wang, and Xudong Jiang · 2023
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Explore in-context learning for 3d point cloud understanding
Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M Buhmann, Chen Change Loy, and Mengyuan Liu · 2023
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DaTaseg: Taming a universal multi-dataset multi-task segmentation model
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, et al · 2023
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Suppressing the heterogeneity: A strong feature extractor for few-shot segmentation
Zhengdong Hu, Yifan Sun, and Yi Yang · 2023
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OneFormer: One Transformer to Rule Universal Image Segmentation
Jitesh Jain, Jiachen Li, MangTik Chiu, Ali Hassani, Nikita Orlov, and Humphrey Shi · 2023
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Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu, and Shih-Fu Chang · 2021
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K-net: Towards unified image segmentation
Wenwei Zhang, Jiangmiao Pang, Kai Chen, and Chen Change Loy · 2021
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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
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Visual prompting via image inpainting
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, and Alexei Efros · 2022
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A unified sequence interface for vision tasks
Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, and Geoffrey Hinton · 2022
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Vision transformer adapter for dense predictions
Zhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai, and Yu Qiao · 2022
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Segment anything
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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F-VLM: Open-vocabulary object detection upon frozen vision and language models
Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, and Anelia Angelova · 2023
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Semantic-sam: Segment and recognize anything at any granularity
Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, and Jianfeng Gao · 2023
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Correlational image modeling for self-supervised visual pre-training
Wei Li, Jiahao Xie, and Chen Change Loy · 2023
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Transformer-based visual segmentation: A survey
Xiangtai Li, Henghui Ding, Wenwei Zhang, Haobo Yuan, Guangliang Cheng, Pang Jiangmiao, Kai Chen, Ziwei Liu, and Chen Change Loy · 2023
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Tube-link: A flexible cross tube baseline for universal video segmentation
Xiangtai Li, Haobo Yuan, Wenwei Zhang, Guangliang Cheng, Jiangmiao Pang, and Chen Change Loy · 2023
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Sfnet: Faster and accurate domain agnostic semantic segmentation via semantic flow
Xiangtai Li, Jiangning Zhang, Yibo Yang, Guangliang Cheng, Kuiyuan Yang, Yu Tong, and Dacheng Tao · 2023
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Unified-io: A unified model for vision, language, and multi-modal tasks
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, and Aniruddha Kembhavi · 2023
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Kosmos-2: Grounding multimodal large language models to the world
Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, and Furu Wei · 2023
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Freeseg: Unified, universal and open-vocabulary image segmentation
Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, et al · 2023
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Visionllm: Large language model is also an open-ended decoder for vision-centric tasks
Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, et al · 2023
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Skeleton-in-context: Unified skeleton sequence modeling with in-context learning
Xinshun Wang, Zhongbin Fang, Xia Li, Xiangtai Li, Chen Chen, and Mengyuan Liu · 2023
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Hierarchical open-vocabulary universal image segmentation
Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, and Trevor Darrell · 2023
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Images speak in images: A generalist painter for in-context visual learning
Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang · 2023
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Seggpt: Segmenting everything in context
Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, and Tiejun Huang · 2023
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Detecting everything in the open world: Towards universal object detection
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, and Shengjin Wang · 2023
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Betrayed by captions: Joint caption grounding and generation for open vocabulary instance segmentation
Jianzong Wu, Xiangtai Li, Henghui Ding, Xia Li, Guangliang Cheng, Yunhai Tong, and Chen Change Loy · 2023
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Towards open vocabulary learning: A survey
Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, and Dacheng Tao · 2023
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Clipself: Vision transformer distills itself for open-vocabulary dense prediction
Size Wu, Wenwei Zhang, Lumin Xu, Sheng Jin, Xiangtai Li, Wentao Liu, and Chen Change Loy · 2023
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Masked frequency modeling for self-supervised visual pre-training
Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, and Chen Change Loy · 2023
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Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, and Shalini De Mello · 2023
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Dst-det: Simple dynamic self-training for open-vocabulary object detection
Shilin Xu, Xiangtai Li, Size Wu, Wenwei Zhang, Yining Li, Guangliang Cheng, Yunhai Tong, Kai Chen, and Chen Change Loy · 2023
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Universal instance perception as object discovery and retrieval
Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Zehuan Yuan, Ping Luo, and Huchuan Lu · 2023
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Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, and Liang-Chieh Chen · 2023
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A simple framework for open-vocabulary segmentation and detection
Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, and Lei Zhang · 2023
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Rethinking evaluation metrics of open-vocabulary segmentaion
Hao Zhou, Tiancheng Shen, Xu Yang, Hai Huang, Xiangtai Li, Lu Qi, and Ming-Hsuan Yang · 2023
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A survey on deep learning technique for video segmentation
Tianfei Zhou, Fatih Porikli, David J Crandall, Luc Van Gool, and Wenguan Wang · 2023
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Generalized decoding for pixel, image and language
Xueyan Zou*, Zi-Yi Dou*, Jianwei Yang*, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee*, and Jianfeng Gao* · 2023
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Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, and Yong Jae Lee · 2023
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Rap-sam: Towards real-time all-purpose segment anything
Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, and Ming-Hsuan Yang · 2024
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Scalable video object segmentation with identification mechanism
Zongxin Yang, Jiaxu Miao, Yunchao Wei, Wenguan Wang, Xiaohan Wang, and Yi Yang · 2024
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Open-vocabulary sam: Segment and recognize twenty-thousand classes interactively
Haobo Yuan, Xiangtai Li, Chong Zhou, Yining Li, Kai Chen, and Chen Change Loy · 2024
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