Image Transformer

Image Transformer[1] is a sequence modeling formulation of image generation generalized by Transformer, which restricting the self-attention mechanism to attend to local neighborhoods, while maintaining large receptive field. There are some details of reading and implementing it.


SiamRPN++

SiamRPN++[1] is a novel Siamese network based tracker to adopt deep networks that broke strict translation invariance. It performs layer-wise and depth-wise aggregations to successfully trained a ResNet-driven Siamese tracker. There are some details of reading and implementing it.


Overview

There are the overall of paper with code for CV / AIGC / LLM / VLM.
https://github.com/Gojay001/paper-with-code-skills.
[Updating…]


Tracklet

Tracklet[1] is a novel method for optimizing tracklet consistency, which directly takes the prediction errors into account. There are some details of reading and implementing it.


FFT(Flow-Fuse Tracker)

FFT(Flow-Fuse Tracker)[1] is an end-to-end DNN tracking approach, that jointly learns both target motions and associations for MOT(multiple object tracking). There are some details of reading and implementing it.


JRMOT

JRMOT[1] is a novel 3D MOT system that integrates information from 2D RGB images and 3D point clouds into a real-time performing framework. There are some details of reading and implementing it.


PAMCC-AOT

Pose-Assisted Multi-Camera Collaboration System[1] is a novel method, which enables a camera to cooperate with the others by sharing camera poses for AOT(active object tracking). There are some details of reading and implementing it.


GlobalTrack

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

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

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.


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