YeLyuUT
I am a ph.D. candidate from University of Twente. My research interest is object recognition from images and videos.
University of TwenteITC building, Hengelosestraat 99, 7514 AE Enschede, Netherlands
YeLyuUT's Stars
zlai0/MAST
MAST: A Memory-Augmented Self-supervised Tracker (CVPR 2020)
tensorflow/models
Models and examples built with TensorFlow
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
facebookresearch/detr
End-to-End Object Detection with Transformers
Liusifei/UVC
Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)
uber-research/UPSNet
UPSNet: A Unified Panoptic Segmentation Network
Angzz/awesome-panoptic-segmentation
Panoptic Segmentation Resources List
facebookresearch/video-long-term-feature-banks
Long-Term Feature Banks for Detailed Video Understanding
dbolya/yolact
A simple, fully convolutional model for real-time instance segmentation.
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
gaoxiang12/slambook
tzutalin/awesome-visual-slam
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
zhanghengdev/awesome-video-object-detection
This is a list of awesome articles about object detection from video.
pybind/pybind11
Seamless operability between C++11 and Python
msracver/FCIS
Fully Convolutional Instance-aware Semantic Segmentation
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
researchmm/SiamDW
[CVPR'19 Oral] Deeper and Wider Siamese Networks for Real-Time Visual Tracking
STVIR/pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
NVIDIA/nvvl
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
roytseng-tw/Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
SeongokRyu/Graph-neural-networks
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
daijifeng001/R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
wangshy31/MANet_for_Video_Object_Detection
Fully Motion-Aware Network for Video Object Detection