| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2023-3-17 | Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation | Mattia Litricoet.al | paper | - | detailTo be published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 |
| 2023-3-16 | Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation | JoonHo Leeet.al | paper | - | - |
| 2023-3-12 | In Search for a Generalizable Method for Source Free Domain Adaptation | M Boudiaf et.al | paper | code | - |
| 2023-3-10 | Target and Task specific Source-Free Domain Adaptive Image Segmentation | Vibashan VSet.al | paper | code | - |
| 2023-3-9 | MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection | Y Ding et.al | paper | code | - |
| 2023-3-7 | Refined Pseudo labeling for Source-free Domain Adaptive Object Detection | Siqi Zhanget.al | paper | - | detailICASSP 2023 |
| 2023-3-2 | Universal source-free domain adaptation method for cross-domain fault diagnosis of machines | Y Zhang et.al | paper | - | detailMechanical Systems and…, 2023 Elsevier |
| 2023-2-28 | Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation | Y Chen et.al | paper | code | - |
| 2023-2-24 | When Source-Free Domain Adaptation Meets Learning with Noisy Labels | Li Yiet.al | paper | - | detailICLR 2023 camera-ready |
| 2023-2-24 | TIDo: Source-free Task Incremental Learning in Non-stationary Environments | AK Ambastha et.al | paper | code | - |
| 2023-2-24 | Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning | AK Ambastha et.al | paper | code | - |
| 2023-2-23 | A Comprehensive Survey on Source-free Domain Adaptation | Zhiqi Yuet.al | paper | - | - |
| 2023-2-19 | Cross-platform privacy-preserving CT image COVID-19 diagnosis based on source-free domain adaptation | Y Feng et.al | paper | - | detailKnowledge Based Systems, 2023 Elsevier |
| 2023-2-16 | Source-free Subject Adaptation for EEG-based Visual Recognition | P Lee et.al | paper | code | - |
| 2023-2-16 | When Source-Free Domain Adaptation Meets Label Propagation | C Wu et.al | paper | code | - |
| 2023-2-14 | Source-Free Domain Adaptive Detection of Concealed Objects in Passive Millimeter-Wave Images | H Yang et.al | paper | - | detailIEEE Transactions on…, 2023 ieeexplore.ieee.org |
| 2023-2-10 | Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation | Andrea Maracaniet.al | paper | - | - |
| 2023-1-26 | LemonLDAP::NG -- A Full AAA Free Open Source WebSSO Solution | Christophe Maudouxet.al | paper | - | detailJournal ref:IEEE 11th International Conference on Cloud Networking (CloudNet) |
| 2023-1-22 | Source-Free Progressive Graph Learning for Open-Set Domain Adaptation | Yadan Luoet.al | paper | code | detailarXiv admin note: substantial text overlap with arXiv:2006 |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2023-3-17 | Enhancing the Role of Context in Region-Word Alignment for Object Detection | Kyle Buettneret.al | paper | - | - |
| 2023-3-17 | Scalable Object Detection on Embedded Devices Using Weight Pruning and Singular Value Decomposition | Dohyun Hamet.al | paper | code | - |
| 2023-3-17 | Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation | Dongsheng Wanget.al | paper | - | - |
| 2023-3-17 | Adaptive Graph Convolution Module for Salient Object Detection | Yongwoo Leeet.al | paper | - | - |
| 2023-3-17 | GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates | Bingqi Shenet.al | paper | - | - |
| 2023-3-17 | Commonsense Knowledge Assisted Deep Learning for Resource-constrained and Fine-grained Object Detection | Pu Zhanget.al | paper | - | - |
| 2023-3-17 | 3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers | Changyong Shuet.al | paper | - | - |
| 2023-3-17 | E-detector: Asynchronous Spatio-temporal for Event-based Object Detection in Intelligent Transportation System | S Zhang et.al | paper | - | detailACM Transactions on Multimedia…, 2023 dl.acm.org |
| 2023-3-16 | Scribble-Supervised RGB-T Salient Object Detection | Zhengyi Liuet.al | paper | - | detailICME2023 |
| 2023-3-16 | DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection | Jiawei Maet.al | paper | code | detailCVPR 2023 Camera Ready (Supp Attached) |
| 2023-3-16 | VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection | Arushi Raiet.al | paper | - | - |
| 2023-3-16 | Scaling Novel Object Detection with Weakly Supervised Detection Transformers | Tyler LaBonteet.al | paper | - | detailWACV 2023 |
| 2023-3-16 | GridCLIP: One-Stage Object Detection by Grid-Level CLIP Representation Learning | Jiayi Linet.al | paper | - | - |
| 2023-3-16 | UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes | Sunwook Hwanget.al | paper | - | detailWe have updated the results to fix errors in the experimental process |
| 2023-3-16 | A Framework for Real-time Object Detection and Image Restoration | Rui-Yang Juet.al | paper | code | - |
| 2023-3-16 | …Simultaneous Defects Visualizing Algorithm for Both Macro and Micro Defects Based on Nonlinear Lamb Wave with an Application of Faster R-Cnn Object Detection | Y Lee et.al | paper | - | detailAvailable at SSRN 4362451 papers.ssrn.com |
| 2023-3-16 | YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention | R Sunkara et.al | paper | - | detailPattern Recognition, 2023 Elsevier |
| 2023-3-16 | Spectral-Spatial Feature Enhancement Algorithm for Nighttime Object Detection and Tracking | Y Lv et.al | paper | - | detailSymmetry, 2023 mdpi.com |
| 2023-3-16 | CRRNet: Channel Relation Reasoning Network for Salient Object Detection | S Gao et.al | paper | - | detail…Conference, CCF CIRAC 2022, Xi'an…, 2023 Springer |
| 2023-3-16 | Iterative Fusion and Dual Enhancement for Accurate and Efficient Object Detection | Z Duan et.al | paper | - | detailJournal of Circuits…, 2023 World Scientific |
| 2023-3-16 | CTA-FPN: Channel-Target Attention Feature Pyramid Network for Prohibited Object Detection in X-ray Images | Y Zhang et.al | paper | - | detail2023 researchsquare.com |
| 2023-3-16 | Hierarchical Cross-modal Transformer for RGB-D Salient Object Detection | H Chen et.al | paper | code | - |
| 2023-3-16 | 3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection | J Park et.al | paper | code | - |
| 2023-3-16 | Research on road object detection algorithm based on improved YOLOX | T Yang et.al | paper | code | - |
| 2023-3-15 | MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection | Liang Liuet.al | paper | code | detailAccepted by CVPR 2023 |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2023-3-17 | Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation | Mattia Litricoet.al | paper | - | detailTo be published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 |
| 2023-3-17 | A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs | Hiroki Kawakamiet.al | paper | - | - |
| 2023-3-17 | Unsupervised domain adaptation by learning using privileged information | Adam Breitholtzet.al | paper | - | - |
| 2023-3-17 | Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation | Daehan Kimet.al | paper | code | - |
| 2023-3-16 | 3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI | Xuzhe Zhanget.al | paper | code | - |
| 2023-3-16 | Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation | JoonHo Leeet.al | paper | - | - |
| 2023-3-16 | A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation | Hui Tanget.al | paper | code | - |
| 2023-3-16 | Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation | Xinyue Huoet.al | paper | - | - |
| 2023-3-16 | Kurcuma: a kitchen utensil recognition collection for unsupervised domain adaptation | A Rosello et.al | paper | - | detailMas, AJ Gallego… Pattern Analysis and…, 2023 Springer |
| 2023-3-16 | An improved multi-source domain adaptation network for inter-subject mental fatigue detection based on DANN | K Chen et.al | paper | - | detailBiomedical Engineering…, 2023 degruyter.com |
| 2023-3-16 | A multi-source transfer learning model based on LSTM and domain adaptation for building energy prediction | H Lu et.al | paper | - | detailInternational Journal of…, 2023 Elsevier |
| 2023-3-16 | Open Set Domain Adaptation with Latent Structure Discovery and Kernelized Classifier Learning | Y Tang et.al | paper | - | detailNeurocomputing, 2023 Elsevier |
| 2023-3-16 | Towards Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification | C Neff et.al | paper | - | detail2023 researchsquare.com |
| 2023-3-16 | Unsupervised Domain Adaptation for MRI Volume Segmentation and Classification Using Image-to-Image Translation | S Kondo et.al | paper | code | - |
| 2023-3-15 | High-level semantic feature matters few-shot unsupervised domain adaptation | Lei Yuet.al | paper | - | detailAAAI 2023 |
| 2023-3-15 | Practicality of generalization guarantees for unsupervised domain adaptation with neural networks | Adam Breitholtzet.al | paper | - | - |
| 2023-3-15 | From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation | Quanfeng Xuet.al | paper | - | - |
| 2023-3-15 | High-Intensified Resemblance and Statistic-Restructured Alignment in Few-Shot Domain Adaptation for Industrial-Specialized Employment | J Petchhan et.al | paper | - | detailIEEE Transactions on Consumer…, 2023 ieeexplore.ieee.org |
| 2023-3-15 | KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation | C Zhou et.al | paper | code | detail2023 europepmc.org |
| 2023-3-15 | Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion | J Shen et.al | paper | - | detailStructural Health Monitoring, 2023 journals.sagepub.com |
| 2023-3-14 | Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation | Yuqi Chenet.al | paper | - | detailJournal articles |
| 2023-3-14 | Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis | Hayden S. Helmet.al | paper | - | - |
| 2023-3-14 | Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation | Tao Yanget.al | paper | - | - |
| 2023-3-14 | Infrared ship target segmentation based on Adversarial Domain Adaptation | T Zhang et.al | paper | - | detailKnowledge Based…, 2023 Elsevier |
| 2023-3-13 | Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation | Licong Guanet.al | paper | - | - |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2023-3-17 | Finding Competence Regions in Domain Generalization | Jens Mülleret.al | paper | - | - |
| 2023-3-17 | Domain Generalization with Global Sample Mixup | Y Lu et.al | paper | - | detailEuropean Conference on Computer…, 2023 Springer |
| 2023-3-17 | Cross-Domain Augmentation Diagnosis: An Adversarial Domain-Augmented Generalization Method for Fault Diagnosis under Unseen Working Conditions | Q Li et.al | paper | - | detailReliability Engineering &…, 2023 Elsevier |
| 2023-3-16 | Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less | Rizhao Caiet.al | paper | - | - |
| 2023-3-15 | Direct-Effect Risk Minimization for Domain Generalization | Yuhui Liet.al | paper | - | - |
| 2023-3-15 | Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review | Yuda Biet.al | paper | - | - |
| 2023-3-15 | Practicality of generalization guarantees for unsupervised domain adaptation with neural networks | Adam Breitholtzet.al | paper | - | - |
| 2023-3-15 | Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization | Sangrok Leeet.al | paper | - | - |
| 2023-3-15 | A Generalized Electromagnetic-Domain Channel Modeling for LOS Holographic MIMO with Arbitrary Surface Placements | Tierui Gonget.al | paper | - | - |
| 2023-3-15 | On the Hyperparameters influencing a PINN's generalization beyond the training domain | A Bonfanti et.al | paper | code | - |
| 2023-3-14 | Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology | Rao Muhammad Umeret.al | paper | - | detailPublished as a ICLR 2023 workshop paper: What do we need for successful domain generalization? |
| 2023-3-14 | Robust Representation Learning with Self-Distillation for Domain Generalization | A Singh et.al | paper | code | - |
| 2023-3-13 | Domain Generalization via Nuclear Norm Regularization | Zhenmei Shiet.al | paper | - | - |
| 2023-3-13 | Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues | Mohamed Akroutet.al | paper | - | - |
| 2023-3-13 | Modality-Agnostic Debiasing for Single Domain Generalization | Sanqing Quet.al | paper | - | detailTo appear in CVPR-2023 |
| 2023-3-12 | HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization | Jingang Quet.al | paper | - | - |
| 2023-3-12 | Cross-corpora spoken language identification with domain diversification and generalization | S Dey et.al | paper | code | detailComputer Speech & Language, 2023 Elsevier |
| 2023-3-11 | ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation | Bang Yanget.al | paper | code | detailWe will release the codes and models at https://github |
| 2023-3-10 | Generating Software for Well-Understood Domains | Jacques Caretteet.al | paper | - | - |
| 2023-3-10 | DEJA VU: Continual Model Generalization For Unseen Domains | Chenxi Liuet.al | paper | - | detailPublished as a conference paper at ICLR 2023 |
| 2023-3-10 | Domain-Conditioned Normalization for Test-Time Domain Generalization | Y Jiang et.al | paper | - | detailComputer Vision–ECCV…, 2023 Springer |
| 2023-3-9 | Domain Generalization by Functional Regression | M Holzleitner et.al | paper | code | - |
| 2023-3-6 | Leveraging Domain Relations for Domain Generalization | H Yao et.al | paper | code | - |
| 2023-3-4 | Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization | D Zhang et.al | paper | code | - |
| 2023-3-2 | Domain Generalization Emerges from Dreaming | H Heo et.al | paper | code | - |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2023-3-16 | Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing | Shruthi Bannuret.al | paper | - | detailTo appear in CVPR 2023 |
| 2023-3-16 | Perceptual Grouping in Contrastive Vision-Language Models | Kanchana Ranasingheet.al | paper | - | - |
| 2023-3-16 | Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models | Xinyang Liuet.al | paper | - | - |
| 2023-3-15 | Unified Visual Relationship Detection with Vision and Language Models | Long Zhaoet.al | paper | - | - |
| 2023-3-15 | Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval | Mustafa Shukoret.al | paper | code | detailCode: https://github |
| 2023-3-15 | Connecting Vision and Language with Video Localized Narratives | Paul Voigtlaenderet.al | paper | code | detailCVPR 2023 |
| 2023-3-15 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | N Bitton-Guetta et.al | paper | code | - |
| 2023-3-15 | Vision-Language Models as Success Detectors | Y Du et.al | paper | code | - |
| 2023-3-15 | Scaling Vision-Language Models with Sparse Mixture of Experts | S Shen et.al | paper | code | - |
| 2023-3-15 | Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors | M Erhan Unal et.al | paper | code | - |
| 2023-3-14 | MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting | Oscar Mañaset.al | paper | code | detailEACL 2023 (main track) |
| 2023-3-14 | Masked Vision and Language Modeling for Multi-modal Representation Learning | Gukyeong Kwonet.al | paper | - | detailInternational Conference on Learning Representations (ICLR) 2023 |
| 2023-3-14 | SuS-X: Training-Free Name-Only Transfer of Vision-Language Models | Vishaal Udandaraoet.al | paper | code | - |
| 2023-3-13 | Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models | Z Zheng et.al | paper | code | - |
| 2023-3-13 | Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models | J Li et.al | paper | code | - |
| 2023-3-13 | Towards Universal Vision-language Omni-supervised Segmentation | B Dong et.al | paper | code | - |
| 2023-3-12 | Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos | T Wang et.al | paper | code | - |
| 2023-3-11 | Tag2Text: Guiding Vision-Language Model via Image Tagging | X Huang et.al | paper | code | - |
| 2023-3-11 | Robotic Applications of Pre-Trained Vision-Language Models to Various Recognition Behaviors | K Kawaharazuka et.al | paper | - | - |