representation-learning.md

ICCV-2023-Papers

Application

Representation Learning

Title	Repo	Paper	Video
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis			➖
Pairwise Similarity Learning is SimPLE			➖
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier			➖
Generalizable Neural Fields as Partially Observed Neural Processes			➖
M2T: Masking Transformers Twice for Faster Decoding	➖		➖
Keep it SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?			➖
Improving Pixel-based MIM by Reducing Wasted Modeling Capability			➖
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration
Quality Diversity for Visual Pre-Training			➖
Subclass-Balancing Contrastive Learning for Long-Tailed Recognition			➖
Mastering Spatial Graph Prediction of Road Networks	➖		➖
Poincaré ResNet			➖
Exploring Model Transferability through the Lens of Potential Energy			➖
Improving CLIP Fine-Tuning Performance	➖		➖
Unsupervised Manifold Linearizing and Clustering	➖		➖
Generalized Sum Pooling for Metric Learning			➖
Partition Speeds Up Learning Implicit Neural Representations based on Exponential-Increase Hypothesis			➖
The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining			➖
Token-Label Alignment for Vision Transformers			➖
Efficiently Robustify Pre-Trained Models	➖		➖
OFVL-MS: Once for Visual Localization Across Multiple Indoor Scenes			➖
Feature Prediction Diffusion Model for Video Anomaly Detection	➖		➖
Joint Implicit Neural Representation for High-Fidelity and Compact Vector Fonts	➖		➖
How Far Pre-Trained Models are from Neural Collapse on the Target Dataset Informs their Transferability			➖
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions			➖
Perceptual Grouping in Contrastive Vision-Language Models			➖
Fully Attentional Networks with Self-Emerging Token Labeling	➖		➖
Instance and Category Supervision are Alternate Learners for Continual Learning	➖		➖
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-Training			➖
Motion-Guided Masking for Spatiotemporal Representation Learning	➖		➖
Data Augmented Flatness-Aware Gradient Projection for Continual Learning			➖
Take-a-Photo: 3D-to-2D Generative Pre-Training of Point Cloud Models			➖
BiViT: Extremely Compressed Binary Vision Transformers			➖
Spatio-Temporal Crop Aggregation for Video Representation Learning			➖
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning			➖
Semantic Information in Contrastive Learning			➖
Cross-Domain Product Representation Learning for Rich-Content E-Commerce			➖
Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised Learning	➖		➖
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness			➖
Unleashing Text-to-Image Diffusion Models for Visual Perception			➖