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6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 31

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The Domain Is a Residue: Adapting Self-Supervised Features, Not Generators
Sep 29, 2026Thomas Deixelberger, Markus SteinbergerDomain Adaptation Conditional Gans
Huawei, Austria · Graz University of Technology, Austria
Two Global Crops Suffice: Locating Semantic Emergence in DINO-Style Self-Supervised Learning
Sep 23, 2026Basavaraj Sunagad, Artur Jesslen, Adam KortylewskiSelf-Supervised Learning Dino
CISPA Helmholtz Center for Information Security · University of Freiburg
DINO-Med: A Unified Patch-Based Adaptation Framework for Multi-Modal Medical Image Analysis Applied to Liver Fibrosis Staging
Sep 11, 2026Boya Wang, Ruizhe Li, Chao Chen +1Lung-Nodule Artificial Intelligence Dinov3
School of Computer Science, University of Nottingham, UK · Nottingham Biomedical Research Centre (BRC), School of Medicine, University of Nottingham, UK
RoMa- $Ω$ : What Feed-Forward 3D Models Know About Image Matching
Sep 8, 2026David Nordström, Xinyue Zhang, Thibaut Loiseau +2Feed-Forward 3D Reconstruction 3D Generation
Chalmers University of Technology, Sweden · Mobile Perception Lab, ShanghaiTech University, China · LIGM, Ecole des Ponts, Univ. Gustave Eiffel, CNRS, France
TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding
Sep 7, 2026Harsha Patnala, Debopriyo Banerjee, Ayush Sunil Munot +1Fine-Grained Perception Self-Supervised Vision Transformers
Eightfold AI · Inception42 · Indian Institute of Technology Kharagpur
Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection
Sep 7, 2026Xuechao Zou, Yi Zhou, Kai Li +4Deepfake Detection Forgeries
Beijing Jiaotong University · Tsinghua University · Ant Group
DINO-A: Adapting Self-Distillation Vision Transformers to General Audio Representation Learning
Aug 11, 2026Tomasz Radzikowski, Mateusz Modrzejewski, Przemysław RokitaNeural Audio Dino
Warsaw University of Technology, Warsaw, Poland
PatchHead: Learning Spatial Patch Evidence for Generalizable AI-Generated Image Detection
Aug 10, 2026Shengbo Qi, Hongyi Fang, Benjia Zhou +1Ai-Generated Image Detection Unsupervised Detection
Beijing Institute of Technology, Zhuhai · Shenzhen University
AdaDINO: Pair-Aware In-Backbone Adaptation of Frozen DINO for Efficient Remote Sensing Change Detection
Aug 8, 2026Xu Zhang, Xinqing Li, Jianpeng Xie +3Change Detection Remote Sensing
VCIP, College of Computer Science, Nankai University · School of Computer Science and Engineering, Tianjin University of Technology · Academy for Advanced Interdisciplinary Studies, Nankai University +1
DINO-3DRA: Leveraging 2D Foundation Model Semantics for 3D Cerebral Aneurysm Segmentation
Aug 7, 2026Jiayang Lu, Fengming Lin, Alejandro F. Frangi +13D Medical Image Segmentation 3D Foundation Models
Centre for Computational Imaging and Modelling in Medicine (CIMIM), University of Manchester, Manchester, UK · Christabel Pankhurst Institute, University of Manchester, Manchester, UK · Department of Computer Science, University of Manchester, Manchester, UK +2
Standalone DINOv3 for Training-Free Open-Vocabulary Semantic Segmentation in Remote Sensing
Aug 4, 2026Changhao Zhao, Haoxiang Li, Yuke Li +2Open-Vocabulary Segmentation Semantic Segmentation
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation
Jul 31, 2026Yu-Pu Hsu, Jen-Jee Chen, Yu-Chee TsengSemi-Supervised Medical Image Segmentation Cone-Beam Computed Tomography
College of Artificial Intelligence National Yang Ming Chiao Tung University Taiwan
DINO-VPT: Hierarchical Visual Prompt Tuning for Joint Physical-Digital Face Anti-Spoofing
Jul 23, 2026Pierre Gallin-Martel, Mika Feng, Koichi Ito +1Dino Multimodal Fusion
Graduate School of Information Sciences, Tohoku University, Japan
AffectFlow-DINO: Uncertainty-Aware Multi-Task Affect Estimation via Conditional Rectified Flow
Jul 14, 2026Salah Eddine Bekhouche, Abdellah Zakaria Sellam, Fadi Dornaika +1Facial Expression Recognition Valence-Arousal Estimation
University of the Basque Country (UPV/EHU), Spain · Department of Innovation Engineering, University of Salento & Institute of Applied Sciences and Intelligent Systems (CNR), Italy · Faculty of Data Science and Computing, Universiti Malaysia Kelantan, Malaysia
DINO-Med3D: Bridging Dimension and Domain Gaps in Volumetric Segmentation via Progressive Adaptation
Jun 17, 2026Haoyu Hu, Xiyao Ma, Shiqi Liu +43D Medical Image Segmentation Dinov3
University of Chinese Academy of Sciences, Beijing, China · Institute of Automation, Chinese Academy of Sciences, Beijing, China
SegDINO: Introducing Multi-Scale Structure into DINO for Efficient Medical Image Segmentation
Jun 16, 2026Sicheng Yang, Hongqiu Wang, Zhaohu Xing +5Semi-Supervised Medical Image Segmentation Dinov3
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China · Department of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China +1
Tac-DINO: Learning Vision-Tactile Features with Patch Alignment
Jun 10, 2026Hong Li, Yankang Dong, Yue Xu +8Tactile Dino
Shanghai Jiao Tong University · Ant Group · Shanghai Innovation Institute
VL-DINO: Leveraging CLIP Vision-Language Knowledge for Open-Vocabulary Object Detectio
Jun 10, 2026Hao Zhang, Qinran Lin, Linqi Song +1Open-Vocabulary Object Detection Vision-Language Foundation Models
Chongqing University, Chongqing, China · City University of Hong Kong, Hong Kong, China
DINO-GFSA: Geo-Localization via Semantic Gated Fusion and Mamba-based Sequential Aggregation
May 30, 2026Beier Hu, Yuanshen Guo, Jialu Cai +4Drone-View Geo-Localization Cross-View Geo-Localization
School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, China
Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence
May 28, 2026Artur Jesslen, Olaf Dünkel, Adam Kortylewski3D Priors 3D Foundation Models
University of Freiburg, Germany · Max Planck Institute for Informatics, Saarland Informatics Campus, Germany · CISPA Helmholtz Center for Information Security, Germany
DinoComplete: 3D Shape Completion with Distilled Semantic Priors and State Space Models
May 26, 2026Furkan Mert Algan, Eckehard Steinbach3D Priors Dino
Chair of Media Technology · Munich Institute of Robotics and Machine Intelligence · School of Computation Information and Technology, Technical University of Munich
Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
May 12, 2026Muhammad Aqeel, Maham Nazir, Uzair Khan +2Vision-Language Model Adaptation Dino
Dept. of Engineering for Innovation Medicine, University of Verona, Italy · School of Computer Science and Engineering, Beihang University, China · Dept. of Engineering for Innovation +1
DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation
May 8, 2026Wei Jiang, Feng Liu, Nan Ye +1Semi-Supervised Medical Image Segmentation Dinov3
The University of Queensland · The University of Newcastle
DINO Soars: DINOv3 for Open-Vocabulary Semantic Segmentation of Remote Sensing Imagery
May 4, 2026Ryan Faulkenberry, Saurabh PrasadRemote Sensing Image Segmentation Dinov3
University of Houston
BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning
Apr 30, 2026Yizhou Wu, Shansong Wang, Yuheng Li +5Multimodal Neuroimaging Dino
Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, USA. · Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA. · Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. +2
Preserve, Then Resolve: Many-to-Many Association and Robust Estimation with General-Purpose Visual Features
Apr 26, 2026Haodong Jiang, Mingzhe Li, Junfeng WuHarder Better Faster Denser Feature Matching Dino
School of Data Science, CUHK (SZ)
Self-supervised pretraining for an iterative image size agnostic vision transformer
Apr 22, 2026Nedyalko Prisadnikov, Danda Pani Paudel, Yuqian Fu +1Self-Supervised Vision Transformers Vision Encoders
INSAIT, Sofia University "St. Kliment Ohridski", Bulgaria
DINO Eats CLIP: Adapting Beyond Knowns for Open-set 3D Object Retrieval
Apr 21, 2026Xinwei He, Yansong Zheng, Qianru Han +7Multi-View Dinov3
Huazhong Agricultural University · Huazhong University of Science and Technology · Shenzhen University
JEPA-Bisim: Learning Robust Visual Representations for Planning with Joint-Embedding Predictive World Models
Feb 20, 2026Leonardo F. Toso, Davit Shadunts, Yunyang Lu +5Latent World Models Latent Prediction
Department of Electrical Engineering, Columbia University, New York, USA. · Capital One, USA.
Flexible Gravitational-Wave Parameter Estimation with Transformers
Dec 2, 2025Annalena Kofler, Maximilian Dax, Stephen R. Green +6Gravitational Waves Canada-France-Hawaii Telescope Data
Max Planck Institute for Intelligent Systems, Max-Planck-Ring 4, 72076 Tübingen, Germany · ELLIS Institute Tübingen, Maria-von-Linden-Straße 2, 72076 Tübingen, Germany · Tübingen AI Center, Maria-von-Linden-Straße 1, 72076 Tübingen, Germany +4
DINO-SLAM: DINO-informed RGB-D SLAM for Neural Implicit and Explicit Representations
Jul 25, 2025Ziren Gong, Xiaohan Li, Fabio Tosi +4Orb-Slam2 Gaussian Splatting Simultaneous Localization And Mapping Systems
University of Bologna, Italy · Faculty of Dentistry, The University of Hong Kong, China · Rawmantic AI, China +1

Sep 29, 2026, cs.CVJ/K move · Enter open · S save

The Domain Is a Residue: Adapting Self-Supervised Features, Not Generators

Thomas Deixelberger, Markus Steinberger

Huawei, Austria · Graz University of Technology, Austria

Domain Adaptation Conditional Gans Fog Dino Bivariate Bicycle Codes

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Clearing fog, rain or snow from footage, or turning renders into photographs, must remove the source domain and keep the scene. Unpaired translators carry it through because their generator sees the source appearance (pixels, a near-invertible latent or a control map) and keeps it. A DINO feature map fixes what is in the scene and carries weather, lighting and rendering style as a residue of 13 to 14% of the feature norm. We propose the Representation Feature Adapter (RFA), a 2.9M-parameter network that moves this residue. We train only the adapter and its discriminators; the encoder and a feature-conditioned decoder, trained once for all conditions, stay frozen. Against CycleGAN-Turbo it is ahead on both metrics on fog and on KID on night, and level within noise on snow, rain and haze. On sim-to-real it leads REGEN and HyPER-GAN on both metrics. Only the RFA removes the rain while keeping the scene. The removal costs scene structure: CycleGAN-Turbo keeps more on every condition but fog. On VAE latents the identical adapter collapses to the identity, and decoders from other groups that never saw it render its output. The RFA has about 160 times fewer trainable parameters than CycleGAN-Turbo and under a fifth of its per-condition training time.

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Latest papers 31