Suchergebnisse - "Encoders-Decoders"

High-Order Interaction Learning for Image Captioning von Wang, Yanhui, Xu, Ning, Liu, An-An, Li, Wenhui, Zhang, Yongdong

“… If we define the context of the interaction to be involved in the subject-predicate-object triplet, most current methods only focus on the single triplet for the first-order interaction to generate sentences …”
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RelTR: Relation Transformer for Scene Graph Generation von Cong, Yuren, Yang, Michael Ying, Rosenhahn, Bodo

“… In this article, we propose an end-to-end scene graph generation model Relation Transformer (RelTR), which has an encoder-decoder architecture …”
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HOTR: End-to-End Human-Object Interaction Detection with Transformers von Kim, Bumsoo, Lee, Junhyun, Kang, Jaewoo, Kim, Eun-Sol, Kim, Hyunwoo J.

“… 〉 triplets from an image based on a transformer encoder-decoder architecture. Through the set prediction, our method effectively exploits the inherent semantic …”
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Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography von Leclerc, Sarah, Smistad, Erik, Pedrosa, Joao, Ostvik, Andreas, Cervenansky, Frederic, Espinosa, Florian, Espeland, Torvald, Berg, Erik Andreas Rye, Jodoin, Pierre-Marc, Grenier, Thomas, Lartizien, Carole, Dhooge, Jan, Lovstakken, Lasse, Bernard, Olivier

“… Over the past decades, the automation of this task has been the subject of intense research. In this paper, we evaluate how far the state-of-the-art encoder-decoder deep …”
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Pose Recognition with Cascade Transformers von Li, Ke, Wang, Shijie, Zhang, Xiang, Xu, Yifan, Xu, Weijian, Tu, Zhuowen

“… Here we utilize the encoder-decoder structure in Transformers to perform regression-based person and keypoint detection that is general-purpose and requires less heuristic design compared with the existing approaches …”
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SATFace: Subject Agnostic Talking Face Generation with Natural Head Movement von Yang, Shuai, Qiao, Kai, Shi, Shuhao, Yang, Jie, Ma, Dekui, Hu, Guoen, Yan, Bin, Chen, Jian

“… ), we construct SATFace by taking encoder-decoder as the primary network architecture. Then, we design a long short-time feature learning network to better reference the global and local information in audio for generating reasonable head movement …”
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What Do Single-View 3D Reconstruction Networks Learn? von Tatarchenko, Maxim, Richter, Stephan R., Ranftl, Rene, Li, Zhuwen, Koltun, Vladlen, Brox, Thomas

“… All existing techniques are united by the idea of having an encoder-decoder network that performs non-trivial reasoning about the 3D structure of the output space …”
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Capsules for biomedical image segmentation von LaLonde, Rodney, Xu, Ziyue, Irmakci, Ismail, Jain, Sanjay, Bagci, Ulas

“… •Introduced novel deconvolutional capsules to create encoder-decoder architecture.•Extended the reconstruction regularization to the segmentation task …”
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CMOS-GAN: Semi-supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis von Yu, Shikang, Han, Hu, Shan, Shiguang, Chen, Xilin

“… Specifically, CMOS-GAN uses a generator of encoder-decoder architecture for new modality synthesis …”
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Semantic Satellite Communications Based on Generative Foundation Model von Jiang, Peiwen, Wen, Chao-Kai, Li, Xiao, Jin, Shi, Li, Geoffrey Ye

“… Considering the high speed of satellites, an adaptive encoder-decoder is proposed to protect important features and avoid frequent retransmissions …”
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DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions von Ahmed, Sabbir, Kamal, Uday, Hasan, Md. Kamrul

“… Robust traffic sign detection and recognition (TSDR) is of paramount importance for the successful realization of autonomous vehicle technology. The importance …”
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Deep Learning Model for Analyzing EEG Signal Analysis von Gupta, Varun, Kumar, Vivek, Prince, Singh, Saurabh, Lee, Young-Seok, Ra, In-Ho

“… noise and artifacts, complexity of brain dynamics, and inter-subject variability. To address these issues, this paper compares a U-shaped encoder-decoder network (UNET …”
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Fixing the Double Agent Vulnerability of Deep Watermarking: A Patch-Level Solution against Artwork Plagiarism von Luo, Yuanjing, Zhou, Tongqing, Cui, Shenglan, Ye, Yunfan, Liu, Fang, Cai, Zhiping

“… The latest development in this context focuses on embedding watermarks via deep encoder-decoder networks …”
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Proposal With Alignment: A Bi-Directional Transformer for 360° Video Viewport Proposal von Guo, Yichen, Xu, Mai, Jiang, Lai, Deng, Xin, Zhou, Jing, Chen, Gaoxing, Sigal, Leonid

“… ° video processing tasks. In this paper, we advance the viewport proposal by further aligning the predicted viewports across frames for individual subject …”
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Control With Minimal Cost-Per-Symbol Encoding and Quasi-Optimality of Event-Based Encoders von Pearson, Justin, Hespanha, Joao P., Liberzon, Daniel

“… We consider the problem of stabilizing a continuous-time linear time-invariant system subject to communication constraints …”
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Copy-Move Detection in Optical Microscopy: A Segmentation Network and a Dataset von Shao, Hao-Chiang, Liao, Yuan-Rong, Tseng, Tse-Yu, Chuo, Yen-Liang, Lin, Fong-Yi

“… network capable of identifying unseen duplicated areas. Built on a multi-resolution encoder-decoder architecture, CMSeg-Net incorporates self-correlation …”
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IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound von Chanti, Dawood Al, Duque, Vanessa Gonzalez, Crouzier, Marion, Nordez, Antoine, Lacourpaille, Lilian, Mateus, Diana

“… A deep Siamese 3D Encoder-Decoder network that captures the evolution of the muscle appearance and shape for contiguous slices is deployed …”
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GCP: Graph Encoder With Content-Planning for Sentence Generation From Knowledge Bases von Trisedya, Bayu Distiawan, Qi, Jianzhong, Wang, Wei, Zhang, Rui

“… We take an encoder-decoder based approach. Specifically, we propose a G raph encoder with C ontent- P lanning capability ( GCP …”
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Generalizable Sample-Efficient Siamese Autoencoder for Tinnitus Diagnosis in Listeners With Subjective Tinnitus von Liu, Zhe, Yao, Lina, Wang, Xianzhi, Monaghan, Jessica J. M., Schaette, Roland, He, Zihuai, McAlpine, David

“… We propose trend descriptor, a feature extractor with lower fineness, to reduce the effect of electrode noises on EEG signals, and a siamese encoder-decoder network boosted in a supervised manner …”
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Population-Driven Synthesis of Personalized Cranial Development From Cross-Sectional Pediatric CT Images von Liu, Jiawei, Xing, Fuyong, Elkhill, Connor, Linguraru, Marius George, Miles, Randy C., Cruz-Guerrero, Ines A., Porras, Antonio R.

“… Objective: Predicting normative pediatric growth is crucial to identify developmental anomalies. While traditional statistical and computational methods have …”
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