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Found 4 papers, 2 papers with code
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity
However, they neglect to evaluate the quality of their constructed sentiment representations; they just focus on improving the fine-tuning performance, which overshadows the representation quality.
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement
In this paper, we introduce a lightweight, user-friendly, and scalable framework that synergizes human and machine intelligence for efficient dataset validation and quality enhancement.
PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation
To enhance extrinsic pose estimation, a multi-point contact strategy is integrated into the model input, recognizing that identical F/T readings can indicate different poses.
Fast and Accurate Unknown Object Instance Segmentation through Error-Informed Refinement
Moreover, a real-world robotic experiment demonstrated the practical applicability of our method in improving the performance of target object grasping tasks in cluttered environments.
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