https://github.com/roberto1648/adversarial-perturbations-on-images-and-videos
공식 코드Targeted Nonlinear Adversarial Perturbations in Images and Videos
Papers with Code 아카이브
Action Localization
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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/robinwangsd/diffusion-with-multi-modal-priors
공식 코드https://github.com/rocketappslab/bdmm
공식 코드Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
https://github.com/roggirg/AutoBots
공식 코드Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
https://github.com/rose-stl-lab/mf-lal
공식 코드MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
https://github.com/rst-tu-dortmund/lord
공식 코드LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
https://github.com/ruitian12/resformer
공식 코드https://github.com/ruizhuo-xu/skeleton2vec
공식 코드https://github.com/run542968/gap
공식 코드https://github.com/ruthless-man/awesome-learn-from-model
공식 코드https://github.com/rwightman/pytorch-image-models
공식 코드EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
https://github.com/rymarinelli/leaking_lora
공식 코드Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models
https://github.com/ryota-skating/fs-jump3d
공식 코드https://github.com/s-shamil/HandFormer
공식 코드https://github.com/sadafgulshad1/Hierarchical-ProtoPNet
공식 코드https://github.com/saferoboticslab/sharp
공식 코드SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction
https://github.com/saidwivedi/POCO
공식 코드https://github.com/sainathadapa/spotify-sequential-skip-prediction
공식 코드Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction
https://github.com/sair-lab/physord
공식 코드PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
https://github.com/sakibreza/eccv24-hat
공식 코드HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization
https://github.com/sallymmx/actionclip
공식 코드https://github.com/samyadeepbasu/locogen
공식 코드On Mechanistic Knowledge Localization in Text-to-Image Generative Models
https://github.com/sancarlim/densetnt-intent
공식 코드https://github.com/sancarlim/explainable-mp
공식 코드Towards Explainable Motion Prediction using Heterogeneous Graph Representations
https://github.com/sandy-zeng/pcl
공식 코드Towards Effective Image Manipulation Detection with Proposal Contrastive Learning
https://github.com/sariahmghames/neurosym-prediction
공식 코드A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
https://github.com/sarinda251/cdfsl-v
공식 코드https://github.com/sauradip/fewshotQAT
공식 코드Few-Shot Temporal Action Localization with Query Adaptive Transformer
https://github.com/sauradip/tags
공식 코드Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning
https://github.com/sbargal/Caffe-ExcitationBP-RNNs
공식 코드https://github.com/scalable-model-editing/gradual-catastrophic-forgetting
공식 코드Model Editing at Scale leads to Gradual and Catastrophic Forgetting
https://github.com/scalable-model-editing/knowledge-editing-regularization
공식 코드https://github.com/scalable-model-editing/rebuilding-rome
공식 코드Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
https://github.com/scalable-model-editing/unified-model-editing
공식 코드https://github.com/schmidt-ju/argoverse-navmap
공식 코드Exploring Navigation Maps for Learning-Based Motion Prediction
https://github.com/scu-zjz/forensichub
공식 코드ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.