Jul 16, 2024 · Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features [paper]. ICCV. Hierarchically Decomposed Graph Convolutional ...
Jul 18, 2024 · ... zero-shot anomaly segmentation. Zhen Qu, Xian ... Title: CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering.
Jul 16, 2024 · Zero-shot learning enables a pre-trained AI model to make predictions on unseen data. Learn what zero-shot learning is, its types, methods, applications, ...
Jul 4, 2024 · Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition ... Pre-trained Model Guided Fine-Tuning for Zero-Shot ...
Jul 16, 2024 · This text encoder is based on the CLIP (Contrastive Language-Image Pre-training) model, which has been pre-trained on large-scale datasets to understand the ...
Jul 11, 2024 · Title: CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM ... Zero-Shot Compositional Action Recognition.
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Jul 2, 2024 · ZONE: Zero-Shot Instruction-Guided Local Editing. Paper: https://arxiv.org ... Narrative Action Evaluation with Prompt-Guided Multimodal Interaction.
Jul 12, 2024 · In this paper, we propose a new method, PIEClass, consisting of two modules: (1) a pseudo label acquisition module that uses zero-shot prompting of pre-trained ...
Jul 18, 2024 · 【12】 Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition ... Activity Recognition using Contrastive Learning and Deep ...
8 hours ago · Self-Supervised Action Recognition. 6 benchmarks. 35 papers with code · 3D Action Recognition. 46 benchmarks. 34 papers with code · Few Shot Action Recognition.
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