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Found 7 papers, 2 papers with code
Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
For contact generation, a VAE-based network takes as input a text and an object mesh, and generates the probability of contacts between the surfaces of hands and the object during the interaction.
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
This technique uses Vision-Language Model (VLM) to verify the correctness of pseudo ground-truths (GTs) without requiring additional model training.
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
In the field of class incremental learning (CIL), generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting, alongside the continuous improvements in generative models.
Class Incremental Learning
Class-Incremental Object Detection
+4
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
In this paper, we introduce an effective buffer training strategy (eBTS) that creates the optimized replay buffer on object detection.
Transformer-Based Unified Recognition of Two Hands Manipulating Objects
In our framework, we insert the whole image depicting two hands, an object and their interactions as input and jointly estimate 3 information from each frame: poses of two hands, pose of an object and object types.
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
The manipulated image features are then exploited to train the hand pose estimation network via the contrastive learning framework.
Sequential Movie Genre Prediction using Average Transition Probability with Clustering
The movie genre prediction does not recommend a specific movie, but it predicts the genre for the next movie to watch in consideration of each user's preference for the movie genre based on the genre included in the movie.
