Search Results for author: Tong Yang

Found 16 papers, 6 papers with code

LGD: Label-guided Self-distillation for Object Detection

no code implementations23 Sep 2021 Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun

In detail, our framework involves sparse label-appearance encoding, inter-object relation adaptation and intra-object knowledge mapping to obtain the instructive knowledge.

Instance Segmentation Object Detection +2

Anchor DETR: Query Design for Transformer-Based Detector

2 code implementations15 Sep 2021 Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun

Thanks to the query design and the attention variant, the proposed detector that we called Anchor DETR, can achieve better performance and run faster than the DETR with 10$\times$ fewer training epochs.

Points as Queries: Weakly Semi-supervised Object Detection by Points

no code implementations CVPR 2021 Liangyu Chen, Tong Yang, Xiangyu Zhang, Wei zhang, Jian Sun

We propose a novel point annotated setting for the weakly semi-supervised object detection task, in which the dataset comprises small fully annotated images and large weakly annotated images by points.

Object Detection Semi-Supervised Object Detection

You Only Look One-level Feature

2 code implementations CVPR 2021 Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun

From the perspective of optimization, we introduce an alternative way to address the problem instead of adopting the complex feature pyramids - {\em utilizing only one-level feature for detection}.

Object Detection

Generator Pyramid for High-Resolution Image Inpainting

no code implementations4 Dec 2020 Leilei Cao, Tong Yang, Yixu Wang, Bo Yan, Yandong Guo

Thus, our model consists of a pyramid of fully convolutional GANs, wherein the content GAN is responsible for completing contents in the lowest-resolution masked image, and each texture GAN is responsible for synthesizing textures in a higher-resolution image.

Image Inpainting Texture Synthesis

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection

1 code implementation3 Dec 2020 Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang

Object detectors usually achieve promising results with the supervision of complete instance annotations.

MULTI-VIEW LEARNING Object Detection +1

Spectral Clustering with Smooth Tiny Clusters

no code implementations10 Sep 2020 Hengrui Wang, Yubo Zhang, Mingzhi Chen, Tong Yang

We first divide objects into a great many tiny clusters.

Variance Regularization for Accelerating Stochastic Optimization

no code implementations13 Aug 2020 Tong Yang, Long Sha, Pengyu Hong

While nowadays most gradient-based optimization methods focus on exploring the high-dimensional geometric features, the random error accumulated in a stochastic version of any algorithm implementation has not been stressed yet.

Stochastic Optimization

A Deep Learning Approach for COVID-19 Trend Prediction

no code implementations9 Aug 2020 Tong Yang, Long Sha, Justin Li, Pengyu Hong

In this work, we developed a deep learning model-based approach to forecast the spreading trend of SARS-CoV-2 in the United States.

Time Series

Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting

no code implementations10 Jun 2020 Xiangyi Meng, Tong Yang

Chaotic time series forecasting has been far less understood despite its tremendous potential in theory and real-world applications.

Tensor Decomposition Time Series +1

Perceptual Extreme Super Resolution Network with Receptive Field Block

1 code implementation26 May 2020 Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo

Third, we alternately use different upsampling methods in the upsampling stage to reduce the high computation complexity and still remain satisfactory performance.

Image Super-Resolution Object Detection

NagE: Non-Abelian Group Embedding for Knowledge Graphs

no code implementations22 May 2020 Tong Yang, Long Sha, Pengyu Hong

We demonstrated the existence of a group algebraic structure hidden in relational knowledge embedding problems, which suggests that a group-based embedding framework is essential for designing embedding models.

Knowledge Graph Embedding Knowledge Graphs

Learning Human-Object Interaction Detection using Interaction Points

1 code implementation CVPR 2020 Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun

Human-object interaction (HOI) detection strives to localize both the human and an object as well as the identification of complex interactions between them.

Human-Object Interaction Detection Keypoint Detection +1

DetNAS: Backbone Search for Object Detection

1 code implementation NeurIPS 2019 Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Xinyu Xiao, Jian Sun

In this work, we present DetNAS to use Neural Architecture Search (NAS) for the design of better backbones for object detection.

Classification General Classification +3

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