djiajunustc

mintty-color-schemes

Some color schemes for MinTTY

FCOS

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

C-MIL

Code for C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

SiamMask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

awesome-object-detection

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

SiamFC-PyTorch

PyTorch (0.40) implementation of SiamFC

Reliable-Re-detection-for-Long-term-Tracking

UDT_pytorch

UDT

MCCT

ai-deadlines

:alarm_clock: AI conference deadline countdowns

CornerNet

pytorch-custom-cuda-tutorial

Tutorial for building a custom CUDA function for Pytorch

ExtremeNet

Bottom-up Object Detection by Grouping Extreme and Center Points

FlowNetPytorch

Pytorch implementation of FlowNet by Dosovitskiy et al.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

RT-MDNet

gluon-cv

Gluon CV Toolkit

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

SNIPER

SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

PANet

PANet for Instance Segmentation and Object Detection

Detect-Track

Code release for "Detect to Track and Track to Detect", ICCV 2017

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

focal-loss

Focal loss for Dense Object Detection

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Deformable-ConvNets

Deformable Convolutional Networks

mx-maskrcnn

An MXNet implementation of Mask R-CNN