output
20152026
most citedGOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild

1.9k citations

Showing 2022Show all

10 papers · 1 filter

cs.LG2022★ 42 cited

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox

Qiyue Yin, Tongtong Yu, Shengqi Shen +5

With the breakthrough of AlphaGo, deep reinforcement learning becomes a recognized technique for solving sequential decision-making problems. Despite its reputation, data inefficie…

cs.CV2022★ 40 cited

QueryProp: Object Query Propagation for High-Performance Video Object Detection

Fei He, Naiyu Gao, Jian Jia +2

Video object detection has been an important yet challenging topic in computer vision. Traditional methods mainly focus on designing the image-level or box-level feature propagatio…

cs.NE2022★ 87 cited

BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation

Yi Zeng, Dongcheng Zhao, Feifei Zhao +16

Spiking neural networks (SNNs) have attracted extensive attentions in Brain-inspired Artificial Intelligence and computational neuroscience. They can be used to simulate biological…

cs.CV2022★ 12 cited

Narrowing the Gap: Improved Detector Training with Noisy Location Annotations

Shaoru Wang, Jin Gao, Bing Li +1

Deep learning methods require massive of annotated data for optimizing parameters. For example, datasets attached with accurate bounding box annotations are essential for modern ob…

cs.CV2022★ 30 cited

Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement

Ziming Yang, Jian Liang, Chaoyou Fu +2

Heterogeneous Face Recognition (HFR) aims to match faces across different domains (e.g., visible to near-infrared images), which has been widely applied in authentication and foren…

nlin.AO2022★ 7 cited

Non-parametric power-law surrogates

Jack Murdoch Moore, Gang Yan, Eduardo G. Altmann

Power-law distributions are essential in computational and statistical investigations of extreme events and complex systems. The usual technique to generate power-law distributed d…

cs.CV2022★ 97 cited

Weakly Aligned Feature Fusion for Multimodal Object Detection

Lu Zhang, Zhiyong Liu, Xiangyu Zhu +4

To achieve accurate and robust object detection in the real-world scenario, various forms of images are incorporated, such as color, thermal, and depth. However, multimodal data of…

cs.CV2022★ 10 cited

SOTVerse: A User-defined Task Space of Single Object Tracking

Shiyu Hu, Xin Zhao, Kaiqi Huang

Single object tracking (SOT) research falls into a cycle -- trackers perform well on most benchmarks but quickly fail in challenging scenarios, causing researchers to doubt the ins…

physics.soc-ph2022★ 87 cited

Autonomous inference of complex network dynamics from incomplete and noisy data

Ting-Ting Gao, Gang Yan

The availability of empirical data that capture the structure and behavior of complex networked systems has been greatly increased in recent years, however a versatile computationa…

cs.CV2022★ 27 cited

Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction

Pinhe Wang, Limin Shi, Bao Chen +3

How to use multiple optical satellite images to recover the 3D scene structure is a challenging and important problem in the remote sensing field. Most existing methods in literatu…