michelecafagna26

michelecafagna26

Geek Repo

Company:University of Malta

Location:Msida, Malta

Home Page:https://michelecafagna26.github.io/

Twitter:@cafagna_m

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michelecafagna26's repositories

faster-rcnn-bottom-up-py

Extract features and bounding boxes using the original Bottom-up Attention Faster-RCNN in a few lines of Python code

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cider

Pythonic wrappers for Cider/CiderD evaluation metrics. Provides CIDEr as well as CIDEr-D (CIDEr Defended) which is more robust to gaming effects. We also add the possibility to replace the original PTBTokenizer with the Spacy tekenizer (No java dependincy but slower)

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VinVL

Original VinVL (and Oscar) repo with API designed for an easy inference

vinvl-visualbackbone

Original VinVL visual backbone with simplified APIs to easily extract features, boxes, object detections, in a few lines of Python code.

CHANGE-IT

[EVALITA2020] CHANGE-IT Task

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CLIPCap

ClipCap implementation with API for an easy inference + baselines for the HL Dataset

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HL-dataset

[INLG2023] The High-Level (HL) dataset is a Vision and Language (V&L) resource aligning object-centric descriptions from COCO with high-level descriptions crowdsourced along 3 axes: scene, action, rationale.

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vl-shap

[Frontiers in AI Journal] Implementation of the paper "Interpreting Vision and Language Generative Models with Semantic Visual Priors"

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bibidy

A simple command line tool for basic manipulations of bib files.

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compress-fasttext

Tools for shrinking fastText models (in gensim format)

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ELFVisionModule

ELF Vision Module demo

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michelecafagna26

Github profile page

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Pascal_Sentence_Dataset-downloader

Utility to downlaod the Pascal Sentence Dataset

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text_completion_api

A simple text completion API using GPT-J-6B

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vl-ablation

Targeted semantic multimodal input ablation. Official implementation of the ablation method introduced in the paper: "What Vision-Language Models 'See' when they See Scenes"

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vl-shap-demo

Gradio demo showcasing VL-SHAP. You can generate visually informed explanations of textual outputs for VL models

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