Results 1 to 10 of about 13,341,436 (324)

Gradient Harmonized Single-Stage Detector [PDF]

Proceedings of the AAAI Conference on Artificial Intelligence, 2019
Despite the great success of two-stage detectors, single-stage detector is still a more elegant and efficient way, yet suffers from the two well-known disharmonies during training, i.e. the huge difference in quantity between positive and negative examples as well as between easy and hard examples.
Li, Buyu, Liu, Yu, Wang, Xiaogang
semanticscholar   +5 more sources

Single stage surgery for Blepharophimosis syndrome

Indian Journal of Ophthalmology, 2012
Purpose: The purpose of this study was to report the functional and cosmetic outcome of single stage surgical procedure for correction of the classic components of Blepharophimosis syndrome.
Kasturi Bhattacharjee, Harsha Bhattacharjee, Ganesh Kuri, Zeenat Tajmin Shah, Nilutparna Deori   +4 more
doaj   +5 more sources

Rehabilitation using single stage implants

Journal of Indian Society of Periodontology, 2009
Implant related prosthesis has become an integral part of rehabilitation of edentulous areas. Single stage implant placement has become popular because of its ease of use and fairly predictable results.
Mohamed Jumshad, Sudarsan Sabitha, Arun K, Shivakumar B   +3 more
doaj   +3 more sources

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications [PDF]

arXiv.org, 2022
For years, the YOLO series has been the de facto industry-level standard for efficient object detection. The YOLO community has prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios.
Chuyin Li, Lu Li, Hongliang Jiang, Kaiheng Weng, Yifei Geng, L. Li, Zaidan Ke, Qingyuan Li, Meng Cheng, Weiqiang Nie, Yiduo Li, Bo Zhang, Yufei Liang, Linyuan Zhou, Xiaoming Xu, Xiangxiang Chu, Xiaoming Wei, Xiaolin Wei   +17 more
semanticscholar   +1 more source

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction [PDF]

IEEE International Conference on Computer Vision, 2023
3D-aware image synthesis encompasses a variety of tasks, such as scene generation and novel view synthesis from images. Despite numerous task-specific methods, developing a comprehensive model remains challenging.
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Z. Tu, Lingjie Liu, Haoran Su   +6 more
semanticscholar   +1 more source

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud [PDF]

Computer Vision and Pattern Recognition, 2021
We present Self-Ensembling Single-Stage object Detector (SE-SSD) for accurate and efficient 3D object detection in outdoor point clouds. Our key focus is on exploiting both soft and hard targets with our formulated constraints to jointly optimize the ...
Wu Zheng, Weiliang Tang, Li Jiang, Chi-Wing Fu   +3 more
semanticscholar   +1 more source

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design [PDF]

Interspeech, 2023
Single-stage text-to-speech models have been actively studied recently, and their results have outperformed two-stage pipeline systems. Although the previous single-stage model has made great progress, there is room for improvement in terms of its ...
Jungil Kong, Jihoon Park, Beomjeong Kim, Jeongmin Kim, Dohee Kong, Sangjin Kim   +5 more
semanticscholar   +1 more source

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer [PDF]

Computer Vision and Pattern Recognition, 2023
Recent Transformer-based 3D object detectors learn point cloud features either from point- or voxel-based representations. However, the former requires time-consuming sampling while the latter introduces quantization errors.
Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Huaguan Chen, Xiaofei He, Wanli Ouyang   +7 more
semanticscholar   +1 more source

3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection [PDF]

Computer Vision and Pattern Recognition, 2022
3D visual grounding aims to locate the referred target object in 3D point cloud scenes according to a free-form language description. Previous methods mostly follow a two-stage paradigm, i.e., language-irrelevant detection and cross-modal matching, which
Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, Si Liu   +7 more
semanticscholar   +1 more source

Single Stage Virtual Try-on via Deformable Attention Flows [PDF]

European Conference on Computer Vision, 2022
Virtual try-on aims to generate a photo-realistic fitting result given an in-shop garment and a reference person image. Existing methods usually build up multi-stage frameworks to deal with clothes warping and body blending respectively, or rely heavily ...
Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang   +4 more
semanticscholar   +1 more source