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GOCA: Guided Online Cluster Assignment for Self-Supervised VideoRepresentation Learning
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Semantic-Aware Fine-Grained Correspondence
Self-Supervised Classification Network
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains
Semi-Supervised Object Detection via Virtual Category Learning
Completely Self-Supervised Crowd Counting via Distribution Matching
Coarse-to-Fine Incremental Few-Shot Learning
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
PSS: Progressive Sample Selection for Open-World Visual Representation Learning
Improving Self-Supervised Lightweight Model Learning via Hard-Aware Metric Distillation
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model
Semi-Leak: Membership Inference Attacks against Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space
Towards Realistic Semi-Supervised Learning
Masked Siamese Networks for Label-Efficient Learning
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Federated Self-Supervised Learning for Video Understanding
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
DSR A Dual Subspace Re-Projection Network for Surface Anomaly Detection
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
KD-MVS: Knowledge Distillation Based Self-Supervised Learning for Multi-View Stereo
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
NeILF: Neural Incident Light Field for Physically-Based Material Estimation
ARF: Artistic Radiance Fields
Multiview Stereo with Cascaded Epipolar RAFT.
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Semantic-Aware Fine-Grained Correspondence
Self-Supervised Classification Network
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains
Semi-Supervised Object Detection via Virtual Category Learning
Completely Self-Supervised Crowd Counting via Distribution Matching
Coarse-to-Fine Incremental Few-Shot Learning
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
PSS: Progressive Sample Selection for Open-World Visual Representation Learning
Improving Self-Supervised Lightweight Model Learning via Hard-Aware Metric Distillation
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model
Semi-Leak: Membership Inference Attacks against Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space
Towards Realistic Semi-Supervised Learning
Masked Siamese Networks for Label-Efficient Learning
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Federated Self-Supervised Learning for Video Understanding
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
DSR A Dual Subspace Re-Projection Network for Surface Anomaly Detection
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
KD-MVS: Knowledge Distillation Based Self-Supervised Learning for Multi-View Stereo
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
NeILF: Neural Incident Light Field for Physically-Based Material Estimation
ARF: Artistic Radiance Fields
Multiview Stereo with Cascaded Epipolar RAFT.