lesleelichong

lesleelichong's Stars

• lesleelichong/Learn-Protobuf-from-Caffe

  Learn-Protobuf-from-Caffe

  Language:C++21

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.6k2k

• HuCaoFighting/Swin-Unet

  [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

  Language:Python1.7k304

• nlohmann/json

  JSON for Modern C++

  Language:C++42.2k6.7k

• facebookresearch/votenet

  Deep Hough Voting for 3D Object Detection in Point Clouds

  Language:Python1.7k376

• junyanz/CycleGAN

  Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

  Language:Lua12.3k1.9k

• ethanhe42/KL-Loss

  Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

  Language:Python714105

• princeton-vl/CornerNet-Lite

  Language:Python1.8k431

• rusty1s/pytorch_scatter

  PyTorch Extension Library of Optimized Scatter Operations

  Language:Python1.5k179

• falcondai/py-ransac

  python implemetation of RANSAC algorithm with a line/plane fitting example.

  Language:Python13237

• Britefury/LearnToPayAttention

  PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

  Language:Python1

• art-programmer/FloorNet

  Language:Python20955

• traveller59/second.pytorch

  SECOND for KITTI/NuScenes object detection

  Language:Python1.7k721

• erikwijmans/Pointnet2_PyTorch

  PyTorch implementation of Pointnet2/Pointnet++

  Language:Python1.5k337

• Yochengliu/awesome-point-cloud-analysis

  A list of papers and datasets about point cloud analysis (processing)

  4k942

• foolwood/SiamMask

  [CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

  Language:Python3.5k814

• xingyul/flownet3d

  FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

  Language:Python35983

• stanford-iprl-lab/sceneflownet

  Motion-based Object Segmentation based on Dense RGB-D Scene Flow

  Language:Python256

• anuragranj/cc

  Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

  Language:Python51263

• CeLuigi/models-comparison.pytorch

  Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

  Language:Python16529

• msracver/Deep-Feature-Flow

  Deep Feature Flow for Video Recognition

  Language:Python1.3k299

• twhui/LiteFlowNet2

  A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

  Language:Python26323

• lixincn2015/Partial-Order-Pruning

  Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search

  Language:Cuda15027

• wutianyiRosun/Segmentation.X

  Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

  Language:Python47793

• murari023/awesome-background-subtraction

  A curated list of background subtraction related papers and resources

  50885

• ozan-oktay/Attention-Gated-Networks

  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

  Language:Python1.9k424

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python8.9k2.5k

• yu-changqian/TorchSeg

  Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

  Language:Python1.4k253

• donnyyou/torchcv

  TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

  Language:Shell2.2k378

• donnyyou/torch-segmentation

  Semantic Segmentation

  Language:Jupyter Notebook16826