zsgnet-pytorch
Object groundings model
An implementation of a computer vision model that grounds objects in images using natural language queries.
Official implementation of ICCV19 oral paper Zero-Shot grounding of Objects from Natural Language Queries (https://arxiv.org/abs/1908.07129)
69 stars
4 watching
12 forks
Language: Python
last commit: almost 5 years ago groundingnlpobjectsvision
Related projects:
| Repository | Description | Stars |
|---|---|---|
 jhcho99/coformer | An implementation of a deep learning model for grounding situation recognition in images | 45 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 microsoft/som | Enables visual grounding in large language models by overlaying spatial and speakable marks on images | 1,218 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 mbzuai-oryx/groundinglmm | An end-to-end trained model capable of generating natural language responses integrated with object segmentation masks for interactive visual conversations | 797 |
 kazuto1011/pspnet-pytorch | Re-implementation of a deep learning model for semantic segmentation using PyTorch. | 52 |
 elliottd/groundedtranslation | Trains multilingual image description models using neural sequence models and extracts hidden features from trained models. | 46 |
 javeywang/pyramid-attention-networks-pytorch | An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |
 devendrachaplot/deeprl-grounding | Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. | 237 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 hszhao/pspnet | A PyTorch implementation of a deep learning model for semantic image segmentation | 1,598 |
 shizhediao/davinci | Implementing a unified modal learning framework for generative vision-language models | 43 |
 isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
 nicolas-chaulet/torch-points3d | A PyTorch framework for building and training deep learning models on point clouds. | 224 |
 fxia22/pointnet.pytorch | This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. | 2,175 |