https://github.com/murinj/big-moe
공식 코드BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing
Papers with Code 아카이브
Depth And Camera Motion
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/murphytju/difffas
공식 코드https://github.com/omggggg/mmdg
공식 코드Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
https://github.com/qianyuzqy/iadg
공식 코드https://github.com/rizhaocai/metapattern_fas
공식 코드https://github.com/rshaojimmy/AAAI2020-RFMetaFAS
공식 코드https://github.com/schelv/monodepth2
공식 코드Improving Self-Supervised Single View Depth Estimation by Masking Occlusion
https://github.com/searecluse/cvprw2024
공식 코드https://github.com/sunyiyou/safas
공식 코드Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
https://github.com/taylover-pei/SSDG-CVPR2020
공식 코드https://github.com/tensorflow/models/tree/master/research/vid2depth
공식 코드Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
https://github.com/tinghuiz/SfMLearner
공식 코드https://github.com/vis-face/cdftn
공식 코드Cyclically Disentangled Feature Translation for Face Anti-spoofing
https://github.com/vis-var/lgsc-for-fas
공식 코드https://github.com/vt-vl-lab/DF-Net
공식 코드DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
https://github.com/wangzhuo2019/ssan
공식 코드Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing
https://github.com/wolo-wolo/FSFM
공식 코드https://github.com/xianhua-he/cvpr2024-face-anti-spoofing-challenge
공식 코드Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues
https://github.com/xix-ai/antispoofing
공식 코드Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning
https://github.com/yaojieliu/CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing
공식 코드https://github.com/yaojieliu/ECCV20-STDN
공식 코드https://github.com/yaojieliu/ECCV2018-FaceDeSpoofing
공식 코드https://github.com/yjyddq/DLIF
공식 코드https://github.com/zbw001/tapip3d
공식 코드https://github.com/zitongyu/flex-modal-fas
공식 코드https://github.com/2023-MindSpore-1/ms-code-177
https://github.com/2023-MindSpore-1/ms-code-18/tree/main/lresnet100e_ir
https://github.com/2023-MindSpore-1/ms-code-201
https://github.com/2023-MindSpore-1/ms-code-208
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceAttribute
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/ReIDStrongBaseline
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/resnet50_adv_pruning
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_resnet34
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/ssd_resnet_34
https://github.com/2023-MindSpore-1/ms-code-22
https://github.com/2023-MindSpore-1/ms-code-49
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.