Zhaoyi-Yan / DCANetLinks
Towards Learning Multi-domain Crowd Counting (T-CSVT, 2021), https://ieeexplore.ieee.org/document/9658506
☆13Updated 2 years ago
Alternatives and similar repositories for DCANet
Users that are interested in DCANet are comparing it to the libraries listed below
Sorting:
- (ECCV'20) Weighing Counts: Sequential Crowd Counting by Reinforcement Learning☆25Updated 5 years ago
- SKT distillation (ACM MM 2020)☆50Updated 5 years ago
- ☆18Updated 3 years ago
- ☆19Updated 4 years ago
- code of MobileCount☆27Updated 3 years ago
- Efficient Crowd Counting via Structured Knowledge Transfer (SKT, ACM MM 2020)☆19Updated 5 years ago
- Crowd Counting☆24Updated 3 years ago
- [IJCV 22] An implementation of AutoScale localization-based method☆29Updated 4 years ago
- PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"☆58Updated 2 years ago
- Semi-supervised Knowledge Distillation☆48Updated 4 years ago
- Code and model for the AI City Challenge (CVPR 2022) Track 3 Action Detection (Naturalistic Driving Action Recognition)☆28Updated 2 years ago
- A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds☆40Updated 9 months ago
- ☆10Updated 2 years ago
- Pytorch implementation of SGANet for crowd counting☆20Updated 2 years ago
- Omni-Scale reID net in a containerised PyTorch version☆21Updated last year
- Crowd Localization☆30Updated 5 years ago
- To the best of our knowledge, this is the first work to explicitly address feature similarity issue in multi-column design. Extensive exp…☆18Updated 4 years ago
- ☆14Updated 5 years ago
- Density-aware Curriculum Learning for Crowd Counting☆17Updated 5 years ago
- Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting (ECCV2020)☆77Updated 5 years ago
- PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."☆16Updated 4 years ago
- Official implementation in PyTorch of SASNet as described in "To Choose or to Fuse? Scale Selection for Crowd Counting"☆90Updated 4 years ago
- PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"☆183Updated last year
- We collected 100 videos captured from 13 different scenes, and FDST dataset contains 150,000 frames, with a total of 394,081 annotated he…☆38Updated 6 years ago
- Official repo for CVPR2024 paper "Single Domain Generalization for Crowd Counting"☆96Updated 9 months ago
- ☆11Updated 2 years ago
- Towards Real-Time Multi-Object Tracking☆29Updated 4 years ago
- A simple yet effective crowd counting and localization network (SCALNet)☆26Updated 4 years ago
- Official Implementation of ACMMM'21 paper "Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting"☆16Updated 3 years ago
- ☆10Updated 3 years ago