https://github.com/anjith2006/bob.paper.ijcb2021_vision_transformer_pad
공식 코드On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
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/anmol2059/svdd2024
공식 코드https://github.com/anndvision/vsop
공식 코드ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
https://github.com/anonicml2019/icml_2019_state_abstraction
공식 코드Learning State Abstractions for Transfer in Continuous Control
https://github.com/anonrep/iba-for-video-sequences
공식 코드Extending Information Bottleneck Attribution to Video Sequences
https://github.com/anonymous-author-sub/seeable
공식 코드SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
https://github.com/anonymoususera/ava
공식 코드AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection
https://github.com/antonibigata/Laughing-Matters
공식 코드Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models
https://github.com/anubhav1997/youneednodataset
공식 코드A Dataless FaceSwap Detection Approach Using Synthetic Images
https://github.com/anuragranj/coma
공식 코드https://github.com/aosokin/cnn_head_detection
공식 코드https://github.com/apchenstu/Facial_Details_Synthesis
공식 코드https://github.com/apexrl/coil
공식 코드https://github.com/aqeelanwar/MaskTheFace
공식 코드https://github.com/arassadin/emotiw2017
공식 코드Group-level Emotion Recognition using Transfer Learning from Face Identification
https://github.com/aravinda27/extswap
공식 코드ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping
https://github.com/architect-road/icongan
공식 코드Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels
https://github.com/architsharma97/medal
공식 코드A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
https://github.com/arctrinity9/datasets-reachocc-and-synchocc
공식 코드Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction
https://github.com/aria-zhangjl/e3-facenet
공식 코드https://github.com/arin-upna/biased-heritage
공식 코드Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
https://github.com/arkel23/animesion
공식 코드https://github.com/arnesh2212/SocialDF
공식 코드https://github.com/arpit15/skill-based-exploration-drl
공식 코드Model Learning for Look-ahead Exploration in Continuous Control
https://github.com/arpitbansal297/universal-guided-diffusion
공식 코드https://github.com/arturjordao/IncrementalDimensionalityReduction
공식 코드Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method
https://github.com/aryan-garg/styledcgan
공식 코드https://github.com/asankagp/mod20
공식 코드A Multi-viewpoint Outdoor Dataset for Human Action Recognition
https://github.com/ashafahi/inceptionv3-transferLearn-poison
공식 코드Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
https://github.com/asindel/artfacepoints
공식 코드ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
https://github.com/asperti/microracer
공식 코드MicroRacer: a didactic environment for Deep Reinforcement Learning
https://github.com/asvspoof-challenge/2021
공식 코드ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
https://github.com/atavakol/action-branching-agents
공식 코드Action Branching Architectures for Deep Reinforcement Learning
https://github.com/atavakol/action-hypergraph-networks
공식 코드Learning to Represent Action Values as a Hypergraph on the Action Vertices
https://github.com/atzoriandrea/Exploratory-Analysis-in-Face-Authentication
공식 코드Explaining Bias in Deep Face Recognition via Image Characteristics
https://github.com/audeering/w2v2-how-to
공식 코드Dawn of the transformer era in speech emotion recognition: closing the valence gap
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.