➡️ Prompt Tuning for Generative Multimodal Pretrained Models

Github: https://github.com/ofa-sys/ofa

Paper: https://arxiv.org/abs/2208.02532v1

Dataset: https://paperswithcode.com/dataset/snli-ve

Demo: https://huggingface.co/spaces/OFA-Sys/OFA-Generic_Interface

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Paper: https://arxiv.org/abs/2207.12600v1

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ZipIt! Merging Models from Different Tasks without Training

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🖥 Github: https://github.com/gstoica27/zipit

⏩ Paper: https://arxiv.org/abs/2305.03053v1

📌 Dataset: https://paperswithcode.com/dataset/nabirds

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🔈Text-to-Video: The Task, Challenges and the Current State

In this post, we covered the constraints, unique challenges and the current state of text-to-video generation models

🤗 Hugging face: https://huggingface.co/blog/text-to-video

🖥 Github: https://github.com/huggingface/blog/blob/main/text-to-video.md

⏩ Damo-vilab: https://huggingface.co/damo-vilab

📌 Dataset: https://m-bain.github.io/webvid-dataset/

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🖥 Github: https://github.com/facebookresearch/imagebind

Ⓜ️ Meta blog: https://ai.facebook.com/blog/imagebind-six-modalities-binding-ai/

⏩ Paper: https://arxiv.org/pdf/2305.05665v1.pdf

⭐️ Demo: https://imagebind.metademolab.com/

📌 Dataset: https://paperswithcode.com/dataset/msr-vtt

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Object Detection Using Mask R-CNN with TensorFlow 2.0 and Keras.

https://blog.paperspace.com/mask-r-cnn-tensorflow-2-0-keras/

Mask_RCNN project: https://github.com/matterport/Mask_RCNN

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📖 DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

A novel self-supervised method for learning dense 3D facial geometry (ie, depth) from face videos, without requiring camera parameters and 3D geometry annotations in training.

🖥 Github: https://github.com/harlanhong/cvpr2022-dagan

⏩ Paper: https://arxiv.org/pdf/2305.06225v1.pdf

⭐️ Demo: https://huggingface.co/spaces/HarlanHong/DaGAN

📌 Dataset: https://paperswithcode.com/dataset/voxceleb1

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⭐️ Towards Building the Federated GPT: Federated Instruction Tuning

Shepherd: A lightweight, foundational framework enabling federated instruction tuning for large language models

🖥 Github: https://github.com/jayzhang42/federatedgpt-shepherd

⏩ Paper: https://arxiv.org/pdf/2305.05644.pdf

📌 Data Preparation: https://github.com/jayzhang42/federatedgpt-shepherd#Data_Preparation

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Discover and Cure: Concept-aware Mitigation of Spurious Correlation

🖥 Github: https://github.com/wuyxin/disc

⏩ Paper: https://arxiv.org/pdf/2305.00650v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/metashift

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Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models

🖥 Github: https://github.com/daochenzha/neuroshard

⏩ Paper: https://arxiv.org/pdf/2305.01868v1.pdf

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Multimodal Data Augmentation for Image Captioning using Diffusion Models

🖥 Github: https://github.com/xiaochr/multimodal-augmentation-image-captioning

⏩ Paper: https://arxiv.org/pdf/2305.01855v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/coco

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