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3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-motion-tracking

:movie_camera: Prototype of 3D object tracking via camera

adversarial-frcnn

A-Fast-RCNN (CVPR 2017)

all-of-statistics

Solutions to Wasserman's 'All of Statistics'.

apollo

An open autonomous driving platform

awesome-cv

Awesome CV is LaTeX template for your outstanding job application

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

c-

c-sharp

c sharp class

caffe

Caffe

caffe-lstm

LSTM implementation on Caffe

caffe-multilabel

Multilabel caffe, with multiple label outputs on dataLayer. No need to modify Loss layer, each loss is dealed separately.

caffe-person-reid

Person Re-Identification: Multi-Task Deep CNN with Triplet Loss

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

coco

MS COCO API - http://mscoco.org/

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

csharp

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dasiamrpn

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

data-science-from-scratch

code for Data Science From Scratch book

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

deep-feature-flow

Deep Feature Flow for Video Recognition

deep-learning-har

Convolutional and LSTM networks to classify human activity

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deformable-convnets

Deformable Convolutional Networks

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

depth-anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

detect-track

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

detectionanalysis

http://web.engr.illinois.edu/~dhoiem/projects/detectionAnalysis/

detr

End-to-End Object Detection with Transformers