GlobalTrack[1] is a pure global tracker for long-term tracking, without temporal consistency assumption making cumulative errors. There are some details of reading and implementing it.

SiamMask[1] is used to detect and segment objects from videos in each frame, initializing a single bounding box and outputing binary segmentation mask and rotated objects boxes. There are some details of reading and implementing it.

Tracktor[1] is used to detect objects from videos in each frame, while forming tracks by linking corresponding detections across time. There are some details of reading and implementing it.

Faster R-CNN[1] is used to detect objects in images, with outputing bounding box and class scores. There are some details of reading and implementing it.

ResNet[1] is used to classify images with deep residual learning. There are some details of reading and implementing it.

GoogLeNet[1] is used to classify images with inception v1. There are some details of reading and implementing it.