Unofficial implementation of "Max-margin Class Imbalanced Learning with Gaussian Affinity"
☆73Nov 24, 2021Updated 4 years ago
Alternatives and similar repositories for affinity-loss
Users that are interested in affinity-loss are comparing it to the libraries listed below
Sorting:
- pytorch implementation affinity loss☆11Feb 21, 2019Updated 7 years ago
- If you are trying to find the download url of specific datasets or some books☆14Apr 18, 2020Updated 5 years ago
- BNF Globalization Code (CVPR 2016)☆24Jun 20, 2016Updated 9 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Nov 8, 2021Updated 4 years ago
- 一步步理解基于pytorch实现yolo-v3过程☆12Aug 10, 2018Updated 7 years ago
- Pytorch version for DAC (ICCV2017)☆12Nov 29, 2019Updated 6 years ago
- MXNet/Gluon implement of L-GM-Loss☆11Oct 17, 2018Updated 7 years ago
- Implementation of several knowledge distillation techniques on PyTorch☆15Feb 25, 2019Updated 7 years ago
- ☆13Aug 25, 2020Updated 5 years ago
- Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)☆20Aug 24, 2023Updated 2 years ago
- "SCNet: Learning Semantic Correspondence" by Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean P…☆33Apr 25, 2019Updated 6 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆698Dec 25, 2021Updated 4 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Aug 22, 2020Updated 5 years ago
- Code for Statistically-motivated Second-order Pooling, ECCV2018☆35Nov 13, 2018Updated 7 years ago
- Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3☆54Aug 11, 2020Updated 5 years ago
- ☆14Oct 8, 2020Updated 5 years ago
- Code of the paper "ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time"☆14Sep 2, 2018Updated 7 years ago
- Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)☆14Jul 20, 2020Updated 5 years ago
- Experiment with Res2Net. https://arxiv.org/abs/1904.01169☆13Apr 4, 2019Updated 6 years ago
- A desktop app supporting face liveness detection powered by Qt. There are two major functions, one is face alignment (an implement of MSR…☆18Dec 27, 2015Updated 10 years ago
- ☆18Dec 22, 2020Updated 5 years ago
- PyTorch implementation of CASENet☆40Jun 4, 2018Updated 7 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆806Feb 18, 2024Updated 2 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆616Aug 29, 2021Updated 4 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆174Apr 10, 2018Updated 7 years ago
- Frame-To-Frame Consistent Semantic Segmentation☆19Jan 15, 2024Updated 2 years ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆41Jul 15, 2023Updated 2 years ago
- Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting https://arxiv.org/abs/2108.08023…☆22Sep 9, 2021Updated 4 years ago
- The replacement of traditional NMS post-processing method in object detection 目标检测中替代传统NMS的后处理方式☆18Mar 23, 2021Updated 4 years ago
- ☆18Mar 7, 2020Updated 5 years ago
- A PyTorch implementation of DANet based on CVPR 2019 paper "Dual Attention Network for Scene Segmentation"☆11Oct 30, 2019Updated 6 years ago
- Multi-class object detection pipeline—Single Shot MultiBox Detector (SSD) + YOLOv3 (real-time) + focal loss (RetinaNet) + Pascal VOC 2007…☆19Jun 23, 2018Updated 7 years ago
- PIC Challenge Baseline☆18Dec 27, 2018Updated 7 years ago
- ☆23Jan 19, 2019Updated 7 years ago
- The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)☆53Mar 4, 2020Updated 6 years ago
- A PyTorch Implementation of a Large Margin Deep Networks for Classification☆23Apr 29, 2019Updated 6 years ago
- A pytorch implementation of yolov3☆24Mar 25, 2019Updated 6 years ago
- Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"☆53May 3, 2021Updated 4 years ago
- Pytorch implementation of RFCN used as baseline for Imagenet VID+DET in https://arxiv.org/abs/1710.03958.☆34Nov 3, 2018Updated 7 years ago