self--semi--meta--unsupervised-learning.md

ICCV-2023-Papers

Application

Self-, Semi-, Meta-, Unsupervised Learning

Title	Repo	Paper	Video
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising			➖
Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks			➖
Diverse Cotraining Makes Strong Semi-Supervised Segmentor	➖		➖
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning	➖		➖
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples	➖		➖
Ponder: Point Cloud Pre-Training via Neural Rendering			➖
Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning			➖
Stable and Causal Inference for Discriminative Self-Supervised Deep Visual Representations	➖		➖
Towards Semi-Supervised Learning with Non-Random Missing Labels			➖
Hallucination Improves the Performance of Unsupervised Visual Representation Learning	➖		➖
Audiovisual Masked Autoencoders	➖		➖
PADCLIP: Pseudo-Labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation	➖		➖
Removing Anomalies as Noises for Industrial Defect Localization	➖		➖
SparseMAE: Sparse Training Meets Masked Autoencoders			➖
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning			➖
Logic-Induced Diagnostic Reasoning for Semi-Supervised Semantic Segmentation	➖
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes			➖
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training			➖
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction	➖		➖
Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement			➖
Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning	➖		➖
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need	➖		➖
Diffusion Models as Masked Autoencoders			➖
Enhanced Meta Label Correction for Coping with Label Corruption			➖
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-Supervised Learning			➖
Prototypes-Oriented Transductive Few-Shot Learning with Conditional Transport			➖
Contrastive Learning Relies more on Spatial Inductive Bias than Supervised Learning: An Empirical Study			➖
Pseudo-Label Alignment for Semi-Supervised Instance Segmentation			➖
CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision	➖		➖
Pixel-Wise Contrastive Distillation	➖		➖
Rethinking Safe Semi-Supervised Learning: Transferring the Open-Set Problem to a Close-Set One	➖		➖
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization	➖		➖
Gradient-based Sampling for Class Imbalanced Semi-Supervised Object Detection			➖
Remembering Normality: Memory-Guided Knowledge Distillation for Unsupervised Anomaly Detection	➖		➖
Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch			➖
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts	➖		➖
SimMatchV2: Semi-Supervised Learning with Graph Consistency			➖
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples	➖		➖
Learning by Sorting: Self-Supervised Learning with Group Ordering Constraints			➖
L-DAWA: Layer-Wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning	➖		➖
Class-Relation Knowledge Distillation for Novel Class Discovery			➖
Representation Uncertainty in Self-Supervised Learning as Variational Inference	➖		➖
Point-TTA: Test-Time Adaptation for Point Cloud Registration using Multitask Meta-Auxiliary Learning	➖		➖
Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning			➖
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos	➖		➖
MHCN: A Hyperbolic Neural Network Model for Multi-View Hierarchical Clustering	➖		➖
Time does Tell: Self-Supervised Time-Tuning of Dense Image Representations			➖
To Adapt or not to Adapt? Real-Time Adaptation for Semantic Segmentation
Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss	➖		➖
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions	➖		➖
Masked Spatio-Temporal Structure Prediction for Self-Supervised Learning on Point Cloud Videos			➖
Parametric Classification for Generalized Category Discovery: A Baseline Study			➖
Object-Centric Multiple Object Tracking			➖
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation	➖		➖
Learning Semi-Supervised Gaussian Mixture Models for Generalized Category Discovery			➖
LoCUS: Learning Multiscale 3D-Consistent Features from Posed Images			➖
Stable Cluster Discrimination for Deep Clustering	➖		➖
Cross-Modal Scalable Hyperbolic Hierarchical Clustering	➖		➖
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-Point Supervision			➖
Semantics Meets Temporal Correspondence: Self-Supervised Object-Centric Learning in Videos			➖
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery	➖		➖
DreamTeacher: Pretraining Image Backbones with Deep Generative Models			➖
MATE: Masked Autoencoders are Online 3D Test-Time Learners			➖
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels			➖
Calibrating Uncertainty for Semi-Supervised Crowd Counting	➖		➖
Test Time Adaptation for Blind Image Quality Assessment			➖
Deep Multiview Clustering by Contrasting Cluster Assignments			➖