Highlights
- Pro
🉑 acdemic
[ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.09651)
Baselines for Identifying Watermarked Large Language Models (ICML AdvML 2023)
Meta-Transformer for Unified Multimodal Learning
From Image to Imuge: Immunized Image Generation, official code, implemented by PyTorch, ACMMM 2021 paper
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Image Forgery Detection and Localization (and related) Papers List
[CVPR 2024] LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
An arbitrary face-swapping framework on images and videos with one single trained model!
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Code for ALBEF: a new vision-language pre-training method
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Raising the Cost of Malicious AI-Powered Image Editing
Implementation of "Long-Range Grouping Transformer for Multi-View 3D Reconstruction" [ICCV 2023]
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
LAVIS - A One-stop Library for Language-Vision Intelligence
Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.
[CVPR 2023] Official repository of paper titled "Fine-tuned CLIP models are efficient video learners".
An official implementation for "X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval"
VideoX: a collection of video cross-modal models
Official repository for "Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting" [CVPR 2023]
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"