smallmax00 / SUA_crowd_counting
ICCV2021: Code for 'Spatial Uncertainty-Aware Semi-Supervised Crowd Counting'
☆18Updated 3 years ago
Alternatives and similar repositories for SUA_crowd_counting:
Users that are interested in SUA_crowd_counting are comparing it to the libraries listed below
- Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting https://arxiv.org/abs/2108.08023…☆22Updated 3 years ago
- PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."☆16Updated 3 years ago
- Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)☆14Updated 2 years ago
- Kernel-based Density Map Generation for Dense Object Counting☆26Updated 4 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
- ☆19Updated 3 years ago
- official implementation of the CVPR21 paper "A Generalized Loss Function for Crowd Counting and Localization"☆32Updated 3 months ago
- Pytorch implementation of SGANet for crowd counting☆20Updated last year
- [CVPR 2022] official repo of "H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection…☆30Updated 2 years ago
- This repo contains the eval code for Hybrid-E-loss, which is written by PyTorch code.☆18Updated 2 years ago
- (ECCV'20) Weighing Counts: Sequential Crowd Counting by Reinforcement Learning☆25Updated 4 years ago
- ☆10Updated 2 years ago
- The code for "SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting"☆16Updated 4 years ago
- A semi-weakly supervised object detection technique based on monte carlo sampling for pseudo GT boxes☆12Updated 2 years ago
- [IJCV 22] An implementation of AutoScale localization-based method☆28Updated 3 years ago
- End-to-End Adversarial Erasing for Weakly Supervised Semantic Segmentation☆14Updated 4 years ago
- CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation☆35Updated 4 years ago
- Spatio-channel Attention Blocks for Cross-modal Crowd Counting -- Official Pytorch Implementation (ACCV'22, Oral)☆27Updated last year
- CVPR-2023 paper "Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting"☆24Updated last year
- Crowd Counting☆22Updated 2 years ago
- PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"☆55Updated last year
- Code for "Partial Class Activation Attention for Semantic Segmentation" [CVPR2022]☆33Updated 2 years ago
- ☆8Updated 4 years ago
- Multi-level Attention Refined UNet for crowd counting☆38Updated 3 years ago
- Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.☆27Updated 3 years ago
- (IJCV 2024&ACM MM 2021 Oral) Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation☆19Updated 2 years ago
- An unofficial implementation of SFNet, proposed in **Semantic Flow for Fast and Accurate Scene Parsing**☆13Updated 4 years ago
- A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds☆36Updated last year
- A simple yet effective crowd counting and localization network (SCALNet)☆24Updated 3 years ago
- Codes for: D-MIL: Discrepant multiple instance learning for weakly supervised object detection☆15Updated 3 years ago