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- When StyleGAN Meets Stable Diffusion: a $\mathcal{W}_{+}$ Adapter for Personalized Image Generation36
The novel use of the extended StyleGAN embed-ding space $\mathcal{W}+$, to achieve enhanced identity preservation and disentanglement for diffusion models, and proposes new training objectives to balance the influences of both prompt and identity conditions.
- Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization33
A localization head is proposed to distinguish dense crowds trained by two loss functions, i.e., Negative-Suppressed Focal (NSF) loss and False-Positive (FP) loss, which balances the positive/negative examples and handles the false-positive predictions.
- LM-DeeplabV3+: A Lightweight Image Segmentation Algorithm Based on Multi-Scale Feature Interaction18
This paper proposes LM-DeeplabV3+, which aims to greatly reduce the parameters and computations of the model while ensuring segmentation accuracy, and conducts experimental verification on the Cityspaces dataset.
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- AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation2
The core of the method is a lightweight adaptive mapping network, which can customize the inclusive tokens for the concepts to be de-biased, making the tokens generalizable to unseen concepts regardless of their original bias distributions.
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- WildDepth: A Multimodal Dataset for 3D Wildlife Perception and Depth Estimation1
WildDepth, a multimodal dataset and benchmark suite for depth estimation, behavior detection, and 3D reconstruction from diverse categories of animals ranging from domestic to wild environments with synchronized RGB and LiDAR, is presented.
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- Comparisons of Different Arbitrage Strategies in Context of Various Models–
An in-depth assessment of the two approaches to statistical arbitrage, distance and time-series models, which uses non-parametric distance indicators to identify pair trading opportunities and seeks to find optimal trading rules by examining and combing through the relevant references.
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- Design of Network Intrusion Detection System Based on IPv6 Protocol Analysis–
A new designing method of network intrusion detection system based on protocol analysis is put forward aimed at the structure characters of IPv6 protocols in next generation Internet.
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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