zhengzhugithub

CV-arXiv-Daily

分享计算机视觉每天的arXiv文章

AwesomeComputerVision

Awesome Computer Vision Resources

leetcode

LeetCode题解，151道题完整版

FlowTrack

End-to-end Flow Correlation Tracking with Spatial-temporal Attention

long-term-tracking-benchmark

A long-term, large-scale object tracking benchmark.

UCT

UCT: Learning Unified Convolutional Networks for Real-time Visual Tracking

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

cnn-benchmarks

Benchmarks for popular CNN models

CREST-Release

CREST: Convolutional Residual Learning for Visual Tracking

DaSiamRPN

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

meta_trackers

multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

resume

Latex生成的中英文个人简历

ai-deadlines

:alarm_clock: AI conference deadline countdowns

asms

Scale adaptive mean-shift tracker

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darknet

Windows and Linux version of Darknet Yolo v2 & v3 Neural Networks for object detection

detta

Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline

dm_control

The DeepMind Control Suite and Package

DS

cpp deep_sort: C++ implementation of Simple Online Realtime Tracking with a Deep Association Metric

ECO-1

c++ visual studio implement of ECO: Efficient Convolution Operators for Tracking

Flow-Guided-Feature-Aggregation

Flow-Guided Feature Aggregation for Video Object Detection

litiv

C++ implementation pool for computer vision R&D projects.

pose-residual-network-pytorch

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

StereoTracking

NOTE: Other eight sequences are available at https://pan.baidu.com/s/1pKA9mGF

trackdat

Vital_release

VITAL: VIsual Tracking via Adversarial Learning