jia-wan / ResidualRegression-pytorch
Residual Regression with Semantic Prior for Crowd Counting
☆16Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for ResidualRegression-pytorch
- ☆11Updated 5 years ago
- Code for Counting with Focus for Free, ICCV, 2019☆93Updated 5 years ago
- Code for Perspective-Guided Convolution Networks for Crowd Counting (ICCV 2019)☆43Updated 3 years ago
- Crowd Counting with Deep Structured Scale Integration Network☆57Updated 5 years ago
- Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018☆18Updated 2 years ago
- An Universal Network for Counting Crowd with Varying Densities and Scales☆15Updated 5 years ago
- AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting (TMM 2021)☆10Updated 3 years ago
- Official code for Crowd Counting via Cross-stage Refinement Networks. TIP 2020☆17Updated 4 years ago
- RGBD crowd counting☆39Updated 2 years ago
- Perspective-Aware CNN for Crowd Counting☆16Updated 6 years ago
- ☆12Updated 6 years ago
- Weakly Supervised Object Detection☆27Updated 4 years ago
- Learning with Noisy Class Labels for Instance Segmentation☆27Updated 3 years ago
- The codes for CVPR-2018 paper "Crowd Counting with Deep Negative Correlation Learning"☆54Updated 4 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 4 years ago
- Object Instance Mining for Weakly Supervised Object Detection (AAAI 2020)☆71Updated 4 years ago
- Implementation for "Completely Self-Supervised Crowd Counting via Distribution Matching" (http://arxiv.org/abs/2009.06420)☆29Updated 4 years ago
- [CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction☆54Updated 4 years ago
- Code for "Low Shot Box Correction for Weakly Supervised Object Detection"☆12Updated last year
- Generative Adversarial Learning Towards Fast Weakly Supervised Detection☆18Updated 4 years ago
- Deep Density-aware Count Regressor: a state-of-the-art method for crowd counting☆27Updated 4 years ago
- A flexible tool for building and sharing deep learning modules.☆43Updated 6 years ago
- implementation of the ADCrowdNet in pytorch☆16Updated 5 years ago
- Domain Adaptive Faster R-CNN in PyTorch☆50Updated 4 years ago
- Implementation for CODA☆27Updated 5 years ago
- SANet implement by pytorch☆14Updated 5 years ago
- ☆42Updated 3 years ago
- learning paper the CVPR2019 with Crowd_Counting☆26Updated 4 years ago
- ☆50Updated 5 years ago
- ☆8Updated 3 years ago