Kali-Hac / Adaboost_V
基于NPD特征+决策树(基分类器)的Adaboost图像识别算法的可调参可视化的模型训练&预测
☆10Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Adaboost_V
- [一图查堂](轻量级深度web人脸识别应用) 团队: mSrA☆11Updated 6 years ago
- 使用HOG和SVM进行目标检测☆13Updated 6 years ago
- MXNet复现SSD目标检测网络☆12Updated 5 years ago
- 基于tensorflow框架，用训练好的Vgg16模型，实现猫狗图像分类的代码☆13Updated 5 years ago
- ☆58Updated last month
- Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight☆37Updated 3 years ago
- ☆72Updated last year
- 因果强化学习（迷宫环境）☆55Updated 5 months ago
- Adversarial Counterfactual Temporal Inference Network☆58Updated 5 months ago
- [Re-implementation] Improving Pairwise Ranking for Multi-label Image Classification (CVPR2017)☆20Updated 5 years ago
- 2018百度之星开发者 大赛：人流量密度估计源代码(pytorch)☆9Updated 6 years ago
- Causal Transfer Learning☆57Updated 5 months ago
- Supplementary materials and codes for the paper "Causal Structure Learning Supervised by Large Language Model"☆55Updated 11 months ago
- Contrastive Bayesian Analysis for Deep Metric Learning and an Integrated Deep Metric Learning Toolbox Based on Pytorch☆12Updated last year
- Detection Model using tensorflow, including RetinaNet, FCOS, CenterNet, DETR, ATSS, GFL,GFLV2,OneNet, YOLOF,YOLOv3,YOLOv4,YOLOv5☆18Updated 3 years ago
- ☆55Updated 5 months ago
- Matlab codes of GTH☆11Updated 5 years ago
- A simple program scheduler for your code on different devices.☆11Updated 3 months ago
- Code repo for the paper "AIO-P: Expanding Neural Performance Predictors Beyond Image Classification", accepted to AAAI-23.☆10Updated 5 months ago
- Code for cross-modal image retrieval for SYSU-MM01☆15Updated 4 years ago
- 基于数字图像处理的车牌定位和分割☆14Updated 5 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 -- Distilling a Powerful Student Model via Online Knowledge Distillation☆28Updated 3 years ago
- ☆14Updated 3 years ago
- ☆58Updated last year
- A Person Re-identification Data Augmentation Method with Adversarial Defense Effect☆20Updated 7 months ago
- ☆59Updated last year
- ChineseCLIP using online learning☆12Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆14Updated 8 months ago
- 学习pytorch图像分类时整理的魔板，只需要更改对应的图片，直接运行train.py 和test.py即可☆17Updated 4 years ago