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climb icon climb

The Continual Learning in Multimodality Benchmark

continuum icon continuum

A clean and simple data loading library for Continual Learning

cross-domain-detection icon cross-domain-detection

Codes and datasets for 'Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation' [Inoue+, CVPR2018].

dataset-converters icon dataset-converters

A conversion toolset between different object detection and instance segmentation annotation formats

flashtorch icon flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

gfr-il icon gfr-il

Generative Feature Replay For Class-Incremental Learning

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

melm icon melm

Min-Entropy Latent Model for Weakly Supervised Object Detection

metar-cnn icon metar-cnn

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

mmsa icon mmsa

MMSA is a unified framework for Multimodal Sentiment Analysis.

multimodal-deep-learning icon multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

netron icon netron

Visualizer for deep learning and machine learning models

promptpapers icon promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

pytorch-resnet icon pytorch-resnet

Convert resnet trained in caffe to pytorch model. (group norm resnet is provided too)

remind icon remind

PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"

textboxes icon textboxes

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

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