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Object placement assessment (OPA) aims to predict the rationality score of a composite image in terms of the placement (e.g., scale, location) of inserted foreground object.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Xu Jia, Bert De Brabandere, Tinne Tuytelaars, and Luc V Gool · 2016
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Synthesizing training data for object detection in indoor scenes
Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, and Jana Kosecka · 2017
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Synthesizing training data for object detection in indoor scenes
Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, and Jana Kosecka · 2017
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Mimicking very efficient network for object detection
Quanquan Li, Shengying Jin, and Junjie Yan · 2017
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Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, and Ming-Hsuan Yang · 2017
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Junho Yim, Donggyu Joo, Jihoon Bae, and Junmo Kim · 2017
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Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, and Shuicheng Yan · 2017
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Modeling visual context is key to augmenting object detection datasets
Nikita Dvornik, Julien Mairal, and Cordelia Schmid · 2018
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Paraphrasing complex network: Network compression via factor transfer
Jangho Kim, SeongUk Park, and Nojun Kwak · 2018
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Context-aware synthesis and placement of object instances
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, and Jan Kautz · 2018
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Learning to segment via cut-and-paste
Tal Remez, Jonathan Huang, and Matthew Brown · 2018
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Classification-driven dynamic image enhancement
Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, and Rainer Stiefelhagen · 2018
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Where and who? Automatic semantic-aware person composition
Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, and Connelly Barnes · 2018
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Toward realistic image compositing with adversarial learning
Bor-Chun Chen and Andrew Kae · 2019
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InstaBoost: Boosting instance segmentation via probability map guided copy-pasting
Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yonglu Li, and Cewu Lu · 2019
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Depthwise convolution is all you need for learning multiple visual domains
Yunhui Guo, Yandong Li, Liqiang Wang, and Tajana Rosing · 2019
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Byeongho Heo, Minsik Lee, Sangdoo Yun, and Jin Young Choi · 2019
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Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, and Jingdong Wang · 2019
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Pixel-adaptive convolutional neural networks
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, and Jan Kautz · 2019
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Learning to generate synthetic data via compositing
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, and Visesh Chari · 2019
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Carafe: Content-aware reassembly of features
Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, and Dahua Lin · 2019
Exclusivity-consistency regularized knowledge distillation for face recognition
Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei, and Tao Mei · 2020
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Solov2: Dynamic and fast instance segmentation
Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, and Chunhua Shen · 2020
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MISC: Multi-condition injection and spatially-adaptive compositing for conditional person image synthesis
Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, and Boxin Shi · 2020
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Learning object placement by inpainting for compositional data augmentation
Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, and Jianbo Shi · 2020
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What and where: A context-based recommendation system for object insertion
Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xi Dong, and Peter Hall · 2020
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Condconv: Conditionally parameterized convolutions for efficient inference
Brandon Yang, Gabriel Bender, Quoc V Le, and Jiquan Ngiam · 2019
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Fast human pose estimation
Feng Zhang, Xiatian Zhu, and Mao Ye · 2019
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Learning to generate synthetic data via compositing
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, and Visesh Chari · 2019
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Dynamic convolution: Attention over convolution kernels
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, and Zicheng Liu · 2020
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Dovenet: Deep image harmonization via domain verification
Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, and Liqing Zhang · 2020
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Improving the harmony of the composite image by spatial-separated attention module
Xiaodong Cun and Chi-Man Pun · 2020
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Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, and Jianbo Shi · 2020
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Data-free knowledge distillation for object detection
Akshay Chawla, Hongxu Yin, Pavlo Molchanov, and Jose Alvarez · 2021
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Geosim: Realistic video simulation via geometry-aware composition for self-driving
Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, and Raquel Urtasun · 2021
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Knowledge distillation: A survey
Jianping Gou, Baosheng Yu, Stephen J Maybank, and Dacheng Tao · 2021
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Intrinsic image harmonization
Zonghui Guo, Haiyong Zheng, Yufeng Jiang, Zhaorui Gu, and Bing Zheng · 2021
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Region-aware adaptive instance normalization for image harmonization
Jun Ling, Han Xue, Li Song, Rong Xie, and Xiao Gu · 2021
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OPA: Object placement assessment dataset
Liu Liu, Bo Zhang, Jiangtong Li, Li Niu, Qingyang Liu, and Liqing Zhang · 2021
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Making images real again: A comprehensive survey on deep image composition
Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, and Liqing Zhang · 2021
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Channel-wise knowledge distillation for dense prediction
Changyong Shu, Yifan Liu, Jianfei Gao, Zheng Yan, and Chunhua Shen · 2021
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Foreground-aware semantic representations for image harmonization
Konstantin Sofiiuk, Polina Popenova, and Anton Konushin · 2021
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Distilling the knowledge of multiscale densely connected deep networks in mechanical intelligent diagnosis
Xiaochuan Wang, Aiguo Chen, Liang Zhang, Yi Gu, Mang Xu, and Haoyuan Yan · 2021
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Decoupled dynamic filter networks
Jingkai Zhou, Varun Jampani, Zhixiong Pi, Qiong Liu, and Ming-Hsuan Yang · 2021
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OPA: Object placement assessment dataset
Liu Liu, Bo Zhang, Jiangtong Li, Li Niu, Qingyang Liu, and Liqing Zhang · 2021
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Shadow generation for composite image in real-world scenes
Yan Hong, Li Niu, and Jianfu Zhang · 2022
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