https://github.com/ziyuzhao-zzy/logostylefool
공식 코드LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion
Structured Sparsity Learning for Efficient Video Super-Resolution
D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance
LoFTR: Detector-Free Local Feature Matching with Transformers
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Generative Category-Level Shape and Pose Estimation with Semantic Primitives
BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images
CoCoFormer: A controllable feature-rich polyphonic music generation method
Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Defending against Model Stealing via Verifying Embedded External Features
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation
Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain Attention
Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
Unsupervised Monocular Depth Estimation in Highly Complex Environments
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs
HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.