liwenwei123

liwenwei123's Stars

• ubc-vision/image-matching-benchmark-baselines

  Baselines for the Image Matching Benchmark and Challenge

  Language:Jupyter Notebook22539

• ubc-vision/image-matching-benchmark

  Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io

  Language:Jupyter Notebook51492

• zjhthu/OANet

  Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

  Language:Python25347

• gmayday1997/SmallObjectAugmentation

  Simple implementation of augmentation for small object detection

  Language:Python21845

• VisDrone/Awesome-VisDrone

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

  13117

• ShuaiBai623/AI-City-Anomaly-Detection

  Source code and code description of Team12 for NVIDIA AICity Challenge 2019 track 3

  Language:Python4611

• xuebinqin/Binary-Segmentation-Evaluation-Tool

  This repo is developed for evaluating binary image segmentation results. Measures, such as MAE, Precision, Recall, F-measure, PR curves and F-measure curves are included.

  Language:Python12434

• zylo117/Yet-Another-EfficientDet-Pytorch

  The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

  Language:Jupyter Notebook5.2k1.3k

• MyungsuChae/IROS2018_ws

  End-to-end multimodal emotion and gender recognition with dynamic weights of joint loss

  Language:Python102

• liwenwei123/AIC_2020_Challenge_Track-1

  Language:Python92

• spytensor/prepare_detection_dataset

  convert dataset to coco/voc format

  Language:Python1.1k357

• zhaoweicai/Detectron-Cascade-RCNN

  Cascade R-CNN in Detectron

  Language:Python468103

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.6k11.7k

• vc-nju/RAS_python

  Pytorch realization for "Reverse Attention for Salient Object Detection": ECCV2018.

  Language:Python132

• princeton-vl/CornerNet-Lite

  Language:Python1.8k430

• GaoangW/TNT

  Language:Python7417

• sahakorn/Python-optical-flow-tracking

  Using Optical Flow for Detection Motion object.

  Language:Python5442

• IntelLabs/distiller

  Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

  Language:Jupyter Notebook4.3k799

• JiahuiYu/slimmable_networks

  Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

  Language:Python907131

• lmbxmu/HRank

  Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

  Language:Python25049

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.2k9.4k

• zhengthomastang/2018AICity_TeamUW

  The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

  Language:C553197

• sanghyun-son/clustering-kernels

  Language:Python304

• ipl-uw/2019-CVPR-AIC-Track-3-UWIPL

  Repository for 2019 CVPR AI City Challenge Track 3 from IPL@UW

  Language:Python1213

• jiayi-wei/NVIDIA-AICITY19-track3-anomaly-detection

  The code for AIC19-track3

  Language:Python64

• he-y/filter-pruning-geometric-median

  Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

  Language:Python587112

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.8k528

• NVIDIAAICITYCHALLENGE/2019AICITY_Code_From_Top_Teams

  The code from the top teams in the 2019 AI City Challenge

  10713

• CeLuigi/models-comparison.pytorch

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

  Language:Python16529

• facebookresearch/kill-the-bits

  Code for: "And the bit goes down: Revisiting the quantization of neural networks"

  Language:Python636124