jia-wan / GeneralizedLoss-Counting-PytorchLinks
official implementation of the CVPR21 paper "A Generalized Loss Function for Crowd Counting and Localization"
☆33Updated 10 months ago
Alternatives and similar repositories for GeneralizedLoss-Counting-Pytorch
Users that are interested in GeneralizedLoss-Counting-Pytorch are comparing it to the libraries listed below
Sorting:
- Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)☆14Updated 3 years ago
- [SCIS 22] TransCrowd: Weakly-Supervised Crowd Counting with Transformers☆103Updated 2 years ago
- [IJCV 22] An implementation of AutoScale localization-based method☆29Updated 3 years ago
- [CVPR 2022] Rethinking Spatial Invariance of Convolutional Networks for Object Counting☆63Updated last year
- A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds☆39Updated 5 months ago
- Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Count…☆72Updated 4 years ago
- [AAAI 2023 Oral] Domain-General Crowd Counting in Unseen Scenarios☆33Updated 6 months ago
- PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"☆58Updated 2 years ago
- Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'☆118Updated 4 months ago
- Kernel-based Density Map Generation for Dense Object Counting☆26Updated 4 years ago
- PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."☆16Updated 4 years ago
- This is the official code repository for the paper "Deep Rank-Consistent Pyramid Model for Better Crowd Counting".☆19Updated 2 years ago
- [ECCV 2022] An End-to-End Transformer Model for Crowd Localization☆103Updated 2 years ago
- ☆19Updated 4 years ago
- ICCV2021: Code for 'Spatial Uncertainty-Aware Semi-Supervised Crowd Counting'☆19Updated 3 years ago
- Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.☆226Updated 3 years ago
- The official codes of the paper 'Crowd Counting in the Frequency Domain' (published in CVPR-2022) and `Generalized Characteristic Functio…☆26Updated last year
- ☆130Updated last year
- A simple yet effective crowd counting and localization network (SCALNet)☆26Updated 4 years ago
- Multi-level Attention Refined UNet for crowd counting☆38Updated 4 years ago
- Spatio-channel Attention Blocks for Cross-modal Crowd Counting -- Official Pytorch Implementation (ACCV'22, Oral)☆28Updated last year
- An implementation of AutoScale regression-based method☆12Updated 4 years ago
- Crowd Localization☆30Updated 5 years ago
- Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting https://arxiv.org/abs/2108.08023…☆22Updated 4 years ago
- RGBD crowd counting☆41Updated 3 years ago
- Crowd Counting☆23Updated 3 years ago
- Pytorch implementation of SGANet for crowd counting☆20Updated 2 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
- The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes☆65Updated 4 years ago
- The code for "SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting"☆16Updated 5 years ago