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addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

all-in-one

All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment

awesome-multimodal-object-tracking

A personal investigative project to track the latest progress in the field of multi-modal object tracking.

awesome-video-diffusion-models

[Arxiv] A Survey on Video Diffusion Models

awesome-visdrone

You can find the latest data,algorithms, paper in the area of drone based computer vision.

baseline

codalab: https://competitions.codalab.org/competitions/23887 website:

bbox_from_segmentation

generate single object rotated bounding box from binary segmentation mask (supplementary code for VOT Challenge data generation)

benchmark_results

Visual Tracking Paper List

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

ccr

covid19_pocus_ultrasound

Open source ultrasound (POCUS) data collection initiative for COVID-19.

cross_resolution_sot

CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras

dasiamrpn

[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

dcfnet

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

det

Dataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)

dslt

Deep Regression Tracking with Shrinkage Loss

eco

Matlab implementation of the ECO tracker.

genealogytree

pedigree and genealogy tree diagrams

generatedtir_tracking

TIP2019

gfs-dcf

Matlab implementation of ICCV2019 paper "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking"

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hico

This repository includes the code for HiCo (PyTorch version).

homura

PyTorch utilities including trainer, reporter, etc.

kmeans-anchor-boxes

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

ladcf

Matlab implementation of TIP2019 paper "Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking"

ladcf_vot