HaloTrouvaille / YOLO-Multi-Backbones-AttentionLinks
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
☆503Updated 4 years ago
Alternatives and similar repositories for YOLO-Multi-Backbones-Attention
Users that are interested in YOLO-Multi-Backbones-Attention are comparing it to the libraries listed below
Sorting:
- YOLO ModelCompression MultidatasetTraining☆445Updated 2 years ago
- reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5,YOLOv3, etc.☆392Updated 4 years ago
- mobilev2-yolov5s剪枝、蒸馏,支持ncnn,tensorRT部署。ultra-light but better performence!☆847Updated 2 years ago
- yolov5 prune,Support V2, V3, V4 and V6 versions of yolov5☆575Updated 3 years ago
- 提供对YOLOv3及Tiny的多种剪枝版本,以适应不同的需求。☆806Updated 5 years ago
- Prepare VOC format datasets for ultralytics/yolov3 & yolov5☆198Updated 2 years ago
- yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏☆1,518Updated 4 years ago
- Learning YOLOv3 from scratch 从零开始学习YOLOv3代码☆214Updated 3 years ago
- yolov3 by pytorch☆196Updated 2 years ago
- ☆229Updated last year
- yolov3 with mobilenet v2 and ASFF☆1,067Updated 3 years ago
- yolov5的注释版本☆271Updated 4 years ago
- 这是一个mobilenet-yolov4的库,把yolov4主干网络修改成了mobilenet,修改了Panet的卷积组成,使参数量大幅度缩小。☆377Updated last year
- Yolov5 distillation training | Yolov5知识蒸馏训练,支持训练自己的数据☆219Updated 2 years ago
- MobileNetV3-SSD for object detection and implementation in PyTorch☆277Updated 4 years ago
- Pytorch复现YOLOv3,使用最新的DIOU loss训练☆70Updated 4 years ago
- Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)☆47Updated 3 years ago
- Tips on how to find suitable object detection anchors☆146Updated 5 years ago
- Multi-backbone, Prune, Quantization, KD☆157Updated 3 years ago
- ☆813Updated 4 years ago
- 这是一个efficientnet-yolo3-pytorch的源码,将yolov3的主干特征提取网络修改成了efficientnet☆146Updated last year
- Distance-IoU Loss into YOLO v3☆312Updated last year
- ghostnet_cifar10☆115Updated 4 years ago
- ppyolo in pytorch. 44.8% box mAP.☆108Updated 3 years ago
- This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design☆368Updated 10 months ago
- [CVPR2020] GhostNet: More Features from Cheap Operations☆529Updated 4 years ago
- More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and …☆674Updated 9 months ago
- An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.☆224Updated 3 years ago
- 这是一个efficientdet-pytorch的源码,可以用于训练自己的模型。☆319Updated last year
- 基于pytorch版ssd进行改进注入CBAM空间通道注意力机制,加入FPN,类别损失函数改为focalloss☆41Updated 4 years ago