Papers with Code 아카이브
3D Face Modelling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/szlbiubiubiu/lafs_cvpr2024
공식 코드LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
https://github.com/taco-group/hfmf
공식 코드HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
https://github.com/tae898/age-gender
공식 코드Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
https://github.com/tajwarfahim/proactive_interventions
공식 코드When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
https://github.com/takihasan/arbex
공식 코드ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning
https://github.com/tal-ai/RECLE
공식 코드Representation Learning from Limited Educational Data with Crowdsourced Labels
https://github.com/taldatech/deep-latent-particles-pytorch
공식 코드Unsupervised Image Representation Learning with Deep Latent Particles
https://github.com/talented-q/ifer-master
공식 코드More comprehensive facial inversion for more effective expression recognition
https://github.com/talented-q/poster_v2
공식 코드POSTER++: A simpler and stronger facial expression recognition network
https://github.com/talkingnow/HM-Conformer
공식 코드https://github.com/talreiss/factor
공식 코드https://github.com/tamlhp/dfd_benchmark
공식 코드A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
https://github.com/taowang0/value-estimation-vpg
공식 코드Improving Value Estimation Critically Enhances Vanilla Policy Gradient
https://github.com/taowangzj/llformer
공식 코드Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
https://github.com/tarun360/speakerprofiling
공식 코드Estimation of speaker age and height from speech signal using bi-encoder transformer mixture model
https://github.com/tavihalperin/AV-sync
공식 코드https://github.com/taylor-xy0827/Ada-DF
공식 코드Ada-DF: An Adaptive Label Distribution Fusion Network For Facial Expression Recognition
https://github.com/taylover-pei/SSDG-CVPR2020
공식 코드https://github.com/tbasaklar/PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
공식 코드PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
https://github.com/tedmoskovitz/DOPE
공식 코드Tactical Optimism and Pessimism for Deep Reinforcement Learning
https://github.com/tedmoskovitz/TOP
공식 코드Tactical Optimism and Pessimism for Deep Reinforcement Learning
https://github.com/tensorflow/community
공식 코드https://github.com/tensorflow/models
공식 코드Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
https://github.com/tesfayz/ccm_madrl_mec
공식 코드https://github.com/teslatasy/popos
공식 코드https://github.com/tesslerc/ActionRobustRL
공식 코드Action Robust Reinforcement Learning and Applications in Continuous Control
https://github.com/tesslerc/GAC
공식 코드Distributional Policy Optimization: An Alternative Approach for Continuous Control
https://github.com/tfwu/FaceDetection-ConvNet-3D
공식 코드Face Detection with End-to-End Integration of a ConvNet and a 3D Model
https://github.com/tgangwani/BMIL
공식 코드Learning Belief Representations for Imitation Learning in POMDPs
https://github.com/thanard/me-trpo
공식 코드https://github.com/thecharlieblake/snowflake
공식 코드Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing
https://github.com/thended32/analyzingcombineddegradations
공식 코드Analyzing the Effect of Combined Degradations on Face Recognition
https://github.com/thesouthfrog/stylealign
공식 코드Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation
https://github.com/thetna/medical_image_segmentation
공식 코드https://github.com/thiagoambiel/PortraitStylization
공식 코드Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face Stylization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.