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depth-adaptive-visual-tracking-tf icon depth-adaptive-visual-tracking-tf

This is an unofficial implementation of the Paper "Depth-Adaptive Computational Policies for Efficient Visual Tracking" By Chris Ying, Katerina Fragkiadaki

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

drnet icon drnet

Source code of DRNet for the VOT2019 challenge (TOP 1 on the public benchmark dataset )

ecanet icon ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

elglt icon elglt

code and results for 'Effective Local and Global Search for Fast Long-term Tracking'

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fcanet icon fcanet

Simple reimplemetation experiments about FcaNet

fcanet-1 icon fcanet-1

FcaNet: Frequency Channel Attention Networks

fcot icon fcot

Fully Convolutional Online Tracking

fdsiamfc icon fdsiamfc

Feature distilling SiamFC for visual object tracking (a compressed SiamFC with an average performance loss of only 1% while achieving 42.6× parameters compression, 21.4× fewer float point computation, 6.8× fewer RAM overhead, and 2.2× speed up. )

freeanchor icon freeanchor

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

friqa icon friqa

Full Reference Image Quality Assessment

hkcf_tracker icon hkcf_tracker

This repo contains the hyperspectral kernelized correlation filter tracker MATLAB implementation.

hwmnet icon hwmnet

Half Wavelet Attention on M-Net+ for Low-light Image Enhancement

impr-rt-vital icon impr-rt-vital

Improved Real-time Visual Tracking via Adversarial Learning

iou-uniform-r-cnn icon iou-uniform-r-cnn

Codes for paper: "IoU-Uniform R-CNN: Breaking Through the Limitations of RPN"

lacandi icon lacandi

A pytorch implement of the paper "Locally Adaptive Channel Attention-Based Network for Denoising Images"

libra_r-cnn icon libra_r-cnn

Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"

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