Dangwei Li's starred repositories

DenseCLIP

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

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DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

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node-fluent-ffmpeg

A fluent API to FFMPEG (http://www.ffmpeg.org)

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ctypes_demo

A simple demonstration of using ctypes to call a C++ class from Python

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clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

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blog

MXNet Blog in Chinese

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gluoncv-torch

PyTorch API for GluonCV Models

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ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

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AOS4ReID

Adversarially Occluded Samples for Person Re-identification, CVPR 2018

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RAP

A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios

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EANet

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

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Hierarchical-Bilinear-Pooling

Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.

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imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

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person-search-PPCC

person search by progressive propagation via competitive consensus

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open-vot

Open source visual object tracking library in python

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siamrpn-pytorch

A clean PyTorch implementation of SiamRPN tracker, evaluated on 7 datasets.

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toolkit

Official Python toolkit for generic object tracking benchmark GOT-10k and beyond

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pedestrian-attribute-recognition-pytorch

A simple baseline for pedestrian attribute recognition in surveillance scenarios

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ISEE-SSD-Pedestrian-Tracker

Pedestrian tracking using ssd to do pedestrian detection.

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LaS-VPE-Platform

ISEE Video Parsing and Evaluation (VPE) Platform.

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Large-Scale-SFA

Large-Scale Slow Feature Analysis on Spark.

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ISEE-MSCAN-ReID

The code is to call the reid model which is provided by Dangwei Li. You may contact with Dangwei Li (dangwei.li@nlpr.ia.ac.cn) to get the model file.

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person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

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AlignedReID-Re-Production-Pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

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part_reid

Code for ICCV2017 paper: Deeply-Learned Part-Aligned Representations for Person Re-Identification

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MSC

MSC: A Dataset for Macro-Management in StarCraft II

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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LaS-VPE-Platform

ISEE Video Parsing and Evaluation (VPE) Platform.

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