Pinned Repositories
ADNet
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)
cfnet
(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.
CREST-Release
CREST: Convolutional Residual Learning for Visual Tracking
GLNet
Global to Local: Clip-LSTM based Object Detection from Remote Sensing Images
MDNet
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
residual-attention-network
Residual Attention Network for Image Classification
siamese-fc
State-of-the-art performance in arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
Zhu1Teng's Repositories
Zhu1Teng/GLNet
Global to Local: Clip-LSTM based Object Detection from Remote Sensing Images
Zhu1Teng/ADNet
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)
Zhu1Teng/cfnet
(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.
Zhu1Teng/CREST-Release
CREST: Convolutional Residual Learning for Visual Tracking
Zhu1Teng/MDNet
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Zhu1Teng/residual-attention-network
Residual Attention Network for Image Classification
Zhu1Teng/siamese-fc
State-of-the-art performance in arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.