Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

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평가표

2

보존된 평가 기록

3

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/gkswamy98/replay_est

공식 코드

Minimax Optimal Online Imitation Learning via Replay Estimation

https://github.com/gkswamy98/sequence_model_il

공식 코드

Sequence Model Imitation Learning with Unobserved Contexts

https://github.com/gojasper/flash-diffusion

공식 코드

Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation

https://github.com/golnazghiasi/cofw68-benchmark

공식 코드

Occlusion Coherence: Detecting and Localizing Occluded Faces

https://github.com/golnazghiasi/hpm-detection-code

공식 코드

Occlusion Coherence: Detecting and Localizing Occluded Faces

https://github.com/gongsixue/DebFace

공식 코드

Jointly De-biasing Face Recognition and Demographic Attribute Estimation

https://github.com/gonyrosenman/tff

공식 코드

Self-Supervised Transformers for fMRI representation

https://github.com/google-deepmind/dmc_vision_benchmark

공식 코드

DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

https://github.com/google-research/deep_ope

공식 코드

Benchmarks for Deep Off-Policy Evaluation

https://github.com/google-research/google-research

공식 코드

Unsupervised Learning of Object Structure and Dynamics from Videos

https://github.com/google-research/google-research/tree/master/pwil

공식 코드

Primal Wasserstein Imitation Learning

https://github.com/google-research/pisac

공식 코드

Predictive Information Accelerates Learning in RL

https://github.com/google-research/planet

공식 코드

Learning Latent Dynamics for Planning from Pixels

https://github.com/google-research/realworldrl_suite

공식 코드

An empirical investigation of the challenges of real-world reinforcement learning

https://github.com/google/tf_mesh_renderer

공식 코드

Unsupervised Training for 3D Morphable Model Regression

https://github.com/gp1g/fedaa

공식 코드

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning

https://github.com/grigorisg9gr/deformable_tracking_review_ijcv2016

공식 코드

A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"

https://github.com/grigorisg9gr/polynomial_nets

공식 코드

Deep Polynomial Neural Networks

https://github.com/grip-unina/id-reveal

공식 코드

ID-Reveal: Identity-aware DeepFake Video Detection

https://github.com/grip-unina/poi-forensics

공식 코드

Audio-Visual Person-of-Interest DeepFake Detection

https://github.com/gsethan17/CAPNet_ABAW2021

공식 코드

Causal affect prediction model using a facial image sequence

https://github.com/guanghaozhu663/skd-tstsan

공식 코드

Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition

https://github.com/guanjiyang/sac_jc

공식 코드

Sample Correlation for Fingerprinting Deep Face Recognition

https://github.com/gufranSabri/FSBI

공식 코드

FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images

https://github.com/guillermogotre/cusp

공식 코드

Custom Structure Preservation in Face Aging

https://github.com/guoyang9/class-imbalance-VQA

공식 코드

Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View

https://github.com/guoyurong0104/crl-code

공식 코드

Competing Ratio Loss for Discriminative Multi-class Image Classification

https://github.com/gurayozgur/foundpad

공식 코드

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

https://github.com/gurayozgur/madation

공식 코드

MADation: Face Morphing Attack Detection with Foundation Models

https://github.com/gwthomas/safe-mbpo

공식 코드

Safe Reinforcement Learning by Imagining the Near Future

https://github.com/gy20073/compact_bilinear_pooling

공식 코드

Compact Bilinear Pooling

https://github.com/gyh5421/unified_deep_clustering

공식 코드

Learning the Precise Feature for Cluster Assignment

https://github.com/h-aboutalebi/SparseBaseline

공식 코드

Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards

https://github.com/haarnoja/sac

공식 코드

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/hadushhailu/daal-dml

공식 코드

DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning

https://github.com/haibo-qiu/SynFace

공식 코드

SynFace: Face Recognition with Synthetic Data

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.