computer-vision-in-the-wild / cvinw_readings Goto Github PK

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[✅] Docs

Hi, you might be interested in our ICCV'23 paper.
paper: https://arxiv.org/abs/2308.09804
code: https://github.com/HenryHZY/VL-PET
project page: https://henryhzy.github.io/VL-PET
baselines: LoRA, VL-Adapter, LST and etc.

Hi, thanks for your efforts to maintain this comprehensive repository!

I recommend collecting Test-Time Training approaches to category Out-of-Domain Generalization. Test-Time-Training (TTT) is an approach to cope with out-of-distribution (OOD) data by adapting a trained model to distribution shifts occurring at test-time. Here are some suggested papers:

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt
ICML 2020
[Code] [Paper]

Tent: Fully Test-Time Adaptation by Entropy Minimization
Wang Dequan, Shelhamer Evan, Liu Shaoteng, Olshausen Bruno, Darrell Trevor
ICLR 2021
[Code] Paper]

Test-Time Training with Masked Autoencoders
Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros
NeurIPS 2022
[Code] [Paper]

Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
Shanyan Guan, Jingwei Xu, Michelle Z. He, Yunbo Wang, Bingbing Ni, Xiaokang Yang
TPAMI 2022
[Code] [Paper]

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Issue type

• Bug Report
• Feature Request
• Help wanted
• [✅] Docs

Hi @ChunyuanLI, thanks for maintaining this comprehensive repository!

I would like to recommend the following three papers under the category "3D Segmentation in the Wild":

CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP
Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, Wenping Wang
CVPR 2023. [paper] [code]

Towards Label-Free Scene Understanding by Vision Foundation Models
Runnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, Wenping Wang
NeurIPS 2023. [paper] [code]

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu
NeurIPS 2023 (Spotlight). [paper] [code] [project]

Add MIT License for this repository.
I would like to work on this.