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