본문 바로가기
카테고리 없음

CVPR 2022, Representation Learning paper 리스트

by 코드퀸 2022. 12. 27.
728x90
반응형

 

CVPR에서 2022년 공개된 Representation Learning paper 리스트 공유합니다.

CVPR 2022에서 공개된 모든 논문은 아래 페이지에 링크되어 있습니다. 

 

 

https://openaccess.thecvf.com/CVPR2022?day=all 

 

CVPR 2022 Open Access Repository

[bibtex] @InProceedings{Park_2022_CVPR, author = {Park, Hyojin and Yessenbayev, Alan and Singhal, Tushar and Adhikari, Navin Kumar and Zhang, Yizhe and Borse, Shubhankar Mangesh and Cai, Hong and Pandey, Nilesh Prasad and Yin, Fei and Mayer, Frank and Cali

openaccess.thecvf.com

 

https://docs.google.com/spreadsheets/d/1ilb2Wqea0uVKxlJsdJHR-3IVaWeqsWyk2M2aGmYVAPE/edit#gid=1112752087

 

CVPR 2022 Session Schedule

Sessions (Combined) Session,Session Date,Session Title / Poster Group,Start Time,Stop Time,# of Papers,Session Chairs,Session Order,Poster ID,Paper ID,Title (Corrected),Authors (Corrected) Poster 1.1,21-Jun-22,Machine Learning,10:00 AM,12:30 PM,250,1,1a,11

docs.google.com

 

2022년 CVPR Paper List
Representation Learning 

Oral session

Masked Autoencoders Are Scalable Vision Learners
Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation With Weak Supervision
Bayesian Invariant Risk Minimization
Crafting Better Contrastive Views for Siamese Representation Learning
Rethinking Minimal Sufficient Representation in Contrastive Learning
Multi-Level Feature Learning for Contrastive Multi-View Clustering
Point-Level Region Contrast for Object Detection Pre-Training
Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
SLIC: Self-Supervised Learning With Iterative Clustering for Human Action Videos
Omnivore: A Single Model for Many Visual Modalities
DPICT: Deep Progressive Image Compression Using Trit-Planes
Efficient Geometry-Aware 3D Generative Adversarial Networks
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Versatile Multi-Modal Pre-Training for Human-Centric Perception
Bridging Video-Text Retrieval With Multiple Choice Questions
Integrating Language Guidance Into Vision-Based Deep Metric Learning

 

 

 

Poster session
Unified Contrastive Learning in Image-Text-Label Space
AlignMixup: Improving Representations by Interpolating Aligned Features
On the Road to Online Adaptation for Semantic Image Segmentation
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation
Kernelized Few-Shot Object Detection With Efficient Integral Aggregation
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
A Structured Dictionary Perspective on Implicit Neural Representations
LARGE: Latent-Based Regression Through GAN Semantics
Rethinking Controllable Variational Autoencoders
Learning Canonical F-Correlation Projection for Compact Multiview Representation
Cross-Architecture Self-Supervised Video Representation Learning
Improving Video Model Transfer With Dynamic Representation Learning
Self-Supervised Image Representation Learning With Geometric Set Consistency
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging
Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling
DiGS: Divergence Guided Shape Implicit Neural Representation for Unoriented Point Clouds
Neural Convolutional Surfaces
Representing 3D Shapes With Probabilistic Directed Distance Fields
H4D: Human 4D Modeling by Learning Neural Compositional Representation
Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification
Contrastive Regression for Domain Adaptation on Gaze Estimation
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Improving Subgraph Recognition With Variational Graph Information Bottleneck
Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant Loss
Few-Shot Keypoint Detection With Uncertainty Learning for Unseen Species

 

그외 다른 세션이지만,
Representation 키워드가 포함된 것이
 생각보다 많았습니다..

약 2000개의 논문 중 120개가 representation 키워드가 포함되어 있었습니다. 

 

Do Learned Representations Respect Causal Relationships?
SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization
NeuralHDHair: Automatic High-Fidelity Hair Modeling From a Single Image Using Implicit Neural Representations
Local Texture Estimator for Implicit Representation Function
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection
TransRank: Self-Supervised Video Representation Learning via Ranking-Based Transformation Recognition
Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation
Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation
Video-Text Representation Learning via Differentiable Weak Temporal Alignment
Advancing High-Resolution Video-Language Representation With Large-Scale Video Transcriptions
SphereSR: 360° Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation
Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
ShapeFormer: Transformer-Based Shape Completion via Sparse Representation
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction
BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion
Representation Compensation Networks for Continual Semantic Segmentation
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning
Causality Inspired Representation Learning for Domain Generalization
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
Patch-Level Representation Learning for Self-Supervised Vision Transformers
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning
Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging
Hierarchical Self-Supervised Representation Learning for Movie Understanding
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks
Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations
Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Motion-Adjustable Neural Implicit Video Representation
Neural Architecture Search With Representation Mutual Information
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Interspace Pruning: Using Adaptive Filter Representations To Improve Training of Sparse CNNs
GIFS: Neural Implicit Function for General Shape Representation
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
FoggyStereo: Stereo Matching With Fog Volume Representation
...
...

 

 

728x90
반응형

댓글