https://github.com/shubhamchandak94/digital-puppetry
공식 코드Reducing latency and bandwidth for video streaming using keypoint extraction and digital puppetry
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Reducing latency and bandwidth for video streaming using keypoint extraction and digital puppetry
A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification
Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
Latent variable model for high-dimensional point process with structured missingness
Every Shot Counts: Using Exemplars for Repetition Counting in Videos
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer
Joint Moment Retrieval and Highlight Detection Via Natural Language Queries
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
Open-Vocabulary Semantic Segmentation with Image Embedding Balancing
Towards Better Forecasting by Fusing Near and Distant Future Visions
Transformer with Tree-order Encoding for Neural Program Generation
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
Implicit field learning for unsupervised anomaly detection in medical images
Improving weakly supervised sound event detection with self-supervised auxiliary tasks
Brevity is the soul of sustainability: Characterizing LLM response lengths
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.