CVPR 2025 "self-supervised learning" Papers

Assessing and Learning Alignment of Unimodal Vision and Language Models

Le Zhang, Qian Yang, Aishwarya Agrawal

DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders

Sizai Hou, Songze Li, Duanyi Yao

Do Your Best and Get Enough Rest for Continual Learning

Hankyul Kang, Gregor Seifer, Donghyun Lee et al.

Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images

Tai Nguyen, Aref Azizpour, Matthew Stamm

Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding

Pedro Hermosilla, Christian Stippel, Leon Sick

Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising

Feiran Li, Haiyang Jiang, Daisuke Iso

PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds

Barza Nisar, Steven L. Waslander

Revisiting MAE Pre-training for 3D Medical Image Segmentation

Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko et al.

SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding

Yangliu Hu, Zikai Song, Na Feng et al.

SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving

Su Sun, Cheng Zhao, Zhuoyang Sun et al.

The Computer Vision Foundation

Transformers without Normalization

Jiachen Zhu, Xinlei Chen, Kaiming He et al.

VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow

Yancong Lin, Shiming Wang, Liangliang Nan et al.