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- Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts72
A finetuning framework, dubbed ANT, is introduced, which Automatically guides deNoising Trajectories to avoid unwanted concepts, and an augmentation-enhanced weight saliency map is proposed to precisely identify the critical parameters that most significantly contribute to the unwanted concept, enabling more thorough and efficient erasure.
- Intelligent Interaction with Virtual Geographical Environments Based on Geographic Knowledge Graph35
The results prove that the method of intelligent interaction based on the knowledge graph can bridge the distance between people and virtual environments.
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- Error Resilience Methods for FGS Video Enhancement Bitstream15
The experimental results show that the proposed hierarchical enhancement layer bitstream has stronger error detection and resynchronization capabilities when transmitted over error-prone channels and provides much better decoded video.
- Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1}13
A novel encoding scheme of using {-1,+1} to decompose quantized neural networks (QNNs) into multi-branch binary networks, which can be efficiently implemented by bitwise operations (xnor and bitcount) to achieve model compression, computational acceleration and resource saving.
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- Adaptive Multi-task Learning for Few-Shot Object Detection10
An adaptive multi-task learning method, featuring a novel precision-driven gradient balancer, is proposed, aiming to enhance individual tasks by leveraging the capabilities of large vision-language models.
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- Real-time detection and localization method for weld seam of narrow butt joint based on semantic segmentation8
The strip pooling ENet (SP-ENet), a real-time network specifically designed to accurately segment narrow weld images, outperforms other classical segmentation networks in terms of segmentation accuracy and proves to be highly suitable for the detection of narrow butt joint welds.
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- A survey on image and video cosegmentation: Methods, challenges and analyses3
A comprehensive overview of image and video cosegmentation including the existing methods, applications, and challenges is provided including the benchmark datasets and standard evaluation metrics.
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- Based on the Fuzzy C-means Clustering Image Segmentation Technology Research1
The experimental results show that the algorithm in clustering, to optimize the performance of the same premise, image segmentation edge clear, segmentation better than traditional clustering algorithm for image segmentsation.
- Consistent maintenances for multiple representation of spatial data based on object matching process1
A way to maintain the consistency between objects in the context of multiple representation of spatial data is presented, which considers the attribute feature consistency and topological relationship consistency of spatial objects together.
- An autonomous robot mapping method based on boundary point optimization and map partition exploration–
The objective of this methodology is twofold: first, to reduce the robot’s movement path during autonomous mapping, and second, to minimize repeated exploration of the same area.
- Attention-enhanced density regression attention-aware for class-agnostic few-shot object counting with cross-domain generalization–
This study proposes a novel FSC method—AFSC-Net, which comprises two key modules: the Exemplar Object Selection Module (EOSM) and the Attention-Enhanced Density Regression Module (AEDRM), which utilizes a self-attention mechanism to automatically select and annotate exemplar objects, reducing dependence on manual annotations.
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- The Aspect of Youyang Dialect–
A detailed description of marking forms and distribution status of each category of Youyang Dialect can be provided in this paper.
Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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