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1. clip-training clip-training Public

   Code to train CLIP model

   Python 129 23

2. facebookresearch/DIMCIM facebookresearch/DIMCIM Public

   Evaluation code and benchmark dataset described in our paper "DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models"

   Jupyter Notebook 12

3. vl2g/VRC vl2g/VRC Public

   Official Implementation of Few-shot Visual Relationship Co-localization

   Python 25 7

4. sketch-text-image-retrieval sketch-text-image-retrieval Public

   Image retrieval using sketch + text description as query.

   Jupyter Notebook

5. scene-text-detection-and-recognition-pytorch scene-text-detection-and-recognition-pytorch Public

   Combining separate scene text detection and recognition modules into one

   Python 3

6. Extract Faster R-CNN Features: detec... Extract Faster R-CNN Features: detect objects and their faster rcnn features in images

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   # Steps before running the scripts:

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   # 1. first install maskrcnn-benchmark : FRCNN Model

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