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awesome-mllm-hallucination

Papers about Hallucination in Multi-Modal Large Language Models (MLLMs)

awesome_active_defense_for_deepfakes

A curated list of active defense paper against deep generative techniques like Deepfakes.

cvpr2022-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

dam-vp

[CVPR 2023] Diversity-Aware Meta Visual Prompting

initiative-defense-for-deepfake

[AAAI 2021] Initiative Defense against Facial Manipulation

nerf

Code release for NeRF (Neural Radiance Fields)

opera

[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

pointcat

[TIP 2024] PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition

robustmae

[ICCV 2023] Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting

shikiw.github.io

si-adv

[CVPR 2022] Shape-invariant Adversarial Point Clouds

tsp-solutions

Some classical solutions for TSP city problem.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vpt

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119