jiaweihe1996 Goto Github PK

action-models

EPIC-Kitchens baselines for Action Recognition

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-nas

A curated list of neural architecture search (NAS) resources.

ba-det

(CVPR 2023) Official PyTorch implementation of the paper: 3D Video Object Detection with Learnable Object-Centric Global Optimization.

ba2-det

but_velodyne_cnn

caffe

Caffe: a fast open framework for deep learning.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

centertrack

Simultaneous object detection and tracking using center points.

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cpnet

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

dasiamrpn

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-residual-networks

Deep Residual Learning for Image Recognition

defcn

End-to-End Object Detection with Fully Convolutional Network

fast-rcnn

Fast R-CNN

fast-rcnn-train-another-dataset

train on another dataset

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gmtracker

Official PyTorch implementation of "Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking" (CVPR 2021).

hoi-learning-list

A list of the Human-Object Interaction Learing studies.

jiaweihe1996.github.io

lucas-kanade-optical-flow-

Lucas Kanade Implementation with and without pyramid

mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch

meta_trackers

mmdetection

Open MMLab Detection Toolbox and Benchmark

mot2voc

Scripts to convert from MOTChallenge dataset to VOC like dataset

nimo-markdown-cv

Maintain your CV in Markdown :sparkles:

onavos-davis2017-5th