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Open-vocabulary semantic segmentation presents the challenge of labeling each pixel within an image based on a wide range of text descriptions.
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Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2009
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Isprs potsdam dataset within the isprs test project on urban classification, 3d building reconstruction and semantic labeling
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An ensemble classification-based approach applied to retinal blood vessel segmentation
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Microsoft coco captions: Data collection and evaluation server
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A crop/weed field image dataset for the evaluation of computer vision based precision agriculture tasks
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Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Convolutional neural network architecture for geometric matching
Ignacio Rocco, Relja Arandjelovic, and Josef Sivic · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Open vocabulary scene parsing
Hang Zhao, Xavier Puig, Bolei Zhou, Sanja Fidler, and Antonio Torralba · 2017
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Coco-stuff: Thing and stuff classes in context
Holger Caesar, Jasper Uijlings, and Vittorio Ferrari · 2018
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
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Group normalization
Yuxin Wu and Kaiming He · 2018
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Zero-shot semantic segmentation
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez · 2019
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Group-wise correlation stereo network
Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, and Hongsheng Li · 2019
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Adaptive pyramid context network for semantic segmentation
Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, and Yu Qiao · 2019
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Deepcrack: A deep hierarchical feature learning architecture for crack segmentation
Yahui Liu, Jian Yao, Xiaohu Lu, Renping Xie, and Li Li · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Guided curriculum model adaptation and uncertainty-aware evaluation for semantic nighttime image segmentation
Christos Sakaridis, Dengxin Dai, and Luc Van Gool · 2019
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isaid: A large-scale dataset for instance segmentation in aerial images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, and Xiang Bai · 2019
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Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
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Floodnet: A high resolution aerial imagery dataset for post flood scene understanding
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Adastereo: A simple and efficient approach for adaptive stereo matching
Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, and Jianping Shi · 2021
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Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2021
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A large-scale benchmark for food image segmentation
Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven CH Hoi, and Qianru Sun · 2021
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Tip-adapter: Training-free clip-adapter for better vision-language modeling
Renrui Zhang, Rongyao Fang, Wei Zhang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, and Hongsheng Li · 2021
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Semantic projection network for zero-and few-label semantic segmentation
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Hierarchical deep stereo matching on high-resolution images
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan · 2019
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Semantic understanding of scenes through the ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2019
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Matching-space stereo networks for cross-domain generalization
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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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Transformers are rnns: Fast autoregressive transformers with linear attention
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, and François Fleuret · 2020
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Zerowaste dataset: towards deformable object segmentation in cluttered scenes
Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi Alladkani, Ping Hu, Vitaly Ablavsky, Berk Calli, Sarah Adel Bargal, and Kate Saenko · 2022
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Cats++: Boosting cost aggregation with convolutions and transformers
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Semantic segmentation in art paintings
Nadav Cohen, Yael Newman, and Ariel Shamir · 2022
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Atlantis: A benchmark for semantic segmentation of waterbody images
Seyed Mohammad Hassan Erfani, Zhenyao Wu, Xinyi Wu, Song Wang, and Erfan Goharian · 2022
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Scaling open-vocabulary image segmentation with image-level labels
Golnaz Ghiasi, Xiuye Gu, Yin Cui, and Tsung-Yi Lin · 2022
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Cost aggregation with 4d convolutional swin transformer for few-shot segmentation
Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, and Seungryong Kim · 2022
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Flowformer: A transformer architecture for optical flow
Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, and Hongsheng Li · 2022
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Visual prompt tuning
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, and Ser-Nam Lim · 2022
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Exploring plain vision transformer backbones for object detection
Yanghao Li, Hanzi Mao, Ross Girshick, and Kaiming He · 2022
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Open-vocabulary semantic segmentation with mask-adapted clip
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, and Diana Marculescu · 2022
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Graftnet: Towards domain generalized stereo matching with a broad-spectrum and task-oriented feature
Biyang Liu, Huimin Yu, and Guodong Qi · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Detailed annotations of chest x-rays via ct projection for report understanding
Constantin Seibold, Simon Reiß, Saquib Sarfraz, Matthias A Fink, Victoria Mayer, Jan Sellner, Moon Sung Kim, Klaus H Maier-Hein, Jens Kleesiek, and Rainer Stiefelhagen · 2022
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Robust fine-tuning of zero-shot models
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A simple baseline for open-vocabulary semantic segmentation with pre-trained vision-language model
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, and Xiang Bai · 2022
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What a mess: Multi-domain evaluation of zero-shot semantic segmentation
Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, and Michael Vössing · 2023
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Clip-adapter: Better vision-language models with feature adapters
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Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip
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Sigmoid loss for language image pre-training
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Generalized decoding for pixel, image, and language
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