Hiecoattenvqa
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Yolov4 Pytorch | 1,572 | 2 years ago | 119 | Python | ||||||
| This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO | ||||||||||
| Image_captioning | 634 | 6 years ago | 64 | mit | Python | |||||
| Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention" | ||||||||||
| Keras_cv_attention_models | 523 |  | 1 | 3 months ago | 94 | November 21, 2023 | 2 | mit | Python | |
| Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam | ||||||||||
| Scan | 442 | a year ago | 18 | apache-2.0 | Python | |||||
| PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018) | ||||||||||
| Adaptiveattention | 288 | 6 years ago | 18 | other | Jupyter Notebook | |||||
| Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning" | ||||||||||
| Hiecoattenvqa | 284 | 6 years ago | 17 | Jupyter Notebook | ||||||
| Efficientdet Pytorch | 266 | 7 months ago | 43 | mit | Python | |||||
| 这是一个efficientdet-pytorch的源码，可以用于训练自己的模型。 | ||||||||||
| Ican | 209 | 4 years ago | 9 | mit | Python | |||||
| [BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection | ||||||||||
| Cs224n_project | 65 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
| Neural Image Captioning in TensorFlow. | ||||||||||
| Attentionmask | 51 | 2 years ago | 2 | gpl-3.0 | Jupyter Notebook | |||||
| AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral) | ||||||||||
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