zengxin1020

zengxin1020's Stars

• Nathangitlab/Backdoor-Attacks-on-Crowd-Counting

  this is for the ACM MM paper---Backdoor Attack on Crowd Counting

  Language:Python171

• amindehnavi/Crowd-Counting-P2PNet

  Computer Vision Final Project, Crowd counting + density map

  Language:Python62

• wfs123456/HANet

  Language:Python3

• hanebarla/CrowdCounting-using-PedestrianFlow

  CrowdCounting-using-PedestrianFlow

  Language:Python1

• mahdibeit/Crowd-Counting

  Single-Image Crowd Counting with Transfer Learning-based Models and Perceptual Loss Function

  Language:Jupyter Notebook1

• MUST-AI-Lab/FFPNet

  The official codes for "Frequency Feature Pyramid Network with Global-Local Consistency Loss for Crowd and Vehicle Counting in Congested Scenes"

  Language:Python5

• zhiqic/Rethinking-Counting

  [CVPR 2022] Rethinking Spatial Invariance of Convolutional Networks for Object Counting

  Language:Python6212

• BangguWu/ECANet

  Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

  Language:Python1.3k200

• cddlyf/GCANet

  Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"

  Language:Python22648

• Yankeegsj/BLA

  Language:Python101

• flyinglynx/Bilinear-Matching-Network

  Official implementation for CVPR 2022 paper "Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting".

  Language:Python709

• special-yang/Top_Down-CrowdCounting

  Language:Python12

• daimuuc/PyramidScaleNetwork

  To the best of our knowledge, this is the first work to explicitly address feature similarity issue in multi-column design. Extensive experiments on four challenging benchmarks (ShanghaiTech, UCF_CC_50, UCF-QNRF, and Mall) demonstrate the effectiveness of the proposed innovations as well as the superior performance over the state-of-the-art. More remarkably, our method can be easily applied to other existing multi-column models as a plug-in to significantly boost the performance to a large extent.

  Language:Python182

• stk513486/STDNet

  to be continued

  Language:Python83

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.4k401

• hoya012/awesome-anomaly-detection

  A curated list of awesome anomaly detection resources

  2.8k516

• RQuispeC/pytorch-ACSCP

  Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018

  Language:Python184

• MagazzuGaetano/Crowd-Counting-DEMO

  A simple Flask application that allow you to try different crowd counting models with different samples from various datasets

  Language:Python31

• taohan10200/DRNet

  PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"

  Language:Python559

• Wightslayer/ViCCT

  Language:Jupyter Notebook31

• smallmax00/Counting_With_Adaptive_Auxiliary_Learning

  IEEE-TITS 2022: code for Transportation Object Counting with Graph-Based Adaptive Auxiliary Learning

  Language:Python102

• weizheliu/Cross-Domain-Crowd-Counting

  Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)

  Language:Python141

• HaoyueBaiZJU/A-Recent-Systematic-Survey-for-Crowd-Counting

  13

• hellowangqian/sganet-crowd-counting

  Pytorch implementation of SGANet for crowd counting

  Language:Python205

• LoraLinH/Boosting-Crowd-Counting-via-Multifaceted-Attention

  Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'

  Language:Python11121

• RCVLab-AiimLab/crowd_counting

  Crowd Counting

  Language:Python225

• TANGHAIHAN/TAFNet

  4

• bridgeqiqi/DREAM

  This is the official code repository for the paper "Deep Rank-Consistent Pyramid Model for Better Crowd Counting".

  Language:Python182

• svip-lab/Locating_Counting_with_a_Depth_Prior

  [TPAMI] Locating and Counting Heads in Crowds With a Depth Prior

  Language:Python201

• FDU-VTS/TutorNet_Crowd_Counting

  Language:Python3