Visual tracking by matching points using diffusion model by Mohamad Alansari, Iyyakutti Iyappan Ganapathi, Sara Alansari, Hasan Al Marzouqi, Sajid Javed

“…Existing Siamese and Transformer-based trackers commonly approach Visual Object Tracking (VOT) as a one-shot detection problem, where the target object is located in a single forward evaluation. …”
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A Lightweight Framework for Audio-Visual Segmentation with an Audio-Guided Space–Time Memory Network by Yunpeng Zuo, Yunwei Zhang

“…First, a mask generator with a scoring mechanism was developed to identify sounding objects from generated masks. This component integrates Fastsam, a lightweight, pre-trained, object-aware segmentation model, with WAV2CLIP, a parameter-efficient audio-visual alignment model. …”
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Learning from Outputs: Improving Multi-Object Tracking Performance by Tracker Fusion by Vincenzo M. Scarrica, Antonino Staiano

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Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds by Cop Konrad, Sułek Bartosz, Trzciński Tomasz

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Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations by Ahmad Jalal, Abrar Ahmed, Adnan Ahmed Rafique, Kibum Kim

“…Second, modified Fuzzy C-Means integrates with super-pixels and Random Forest for the segmentation of objects. Third, these segmented objects are used to extract a novel Bag of Features that concatenate different blobs, multiple orientations, Fourier transform and geometrical points over the objects. …”
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Progressive Self-Prompting Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images by Xiaoning Zhang, Yi Yu, Daqun Li, Yuqing Wang

“…With the continuous advancement of deep neural networks, salient object detection (SOD) in natural images has made significant progress. …”
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Toward High-Resolution UAV Imagery Open-Vocabulary Semantic Segmentation by Zimo Chen, Yuxiang Xie, Yingmei Wei

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning by Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

“…Notably, it improves mIoU scores by 7.99 for foreground segmentation and by 17.04 for single object detection when compared to the baseline without learnable prompts. …”
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Automatic segmentation and volume measurement of anterior visual pathway in brain 3D-T1WI using deep learning by Yongliang Han, Haixiang Wang, Qi Luo, Jingjie Wang, Chun Zeng, Qiao Zheng, Linquan Dai, Yiqiu Wei, Qiyuan Zhu, Wenlong Lin, Shaoguo Cui, Yongmei Li

“…ObjectiveAccurate anterior visual pathway (AVP) segmentation is vital for clinical applications, but manual delineation is time-consuming and resource-intensive. …”
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Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation by Muhammad Liakat Ali, Topu Biswas, Shahin Akter, Mohammed Farhan Jawad, Hadaate Ullah

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Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy by Andrea Moglia, Luca Marsilio, Matteo Rossi, Maria Pinelli, Emanuele Lettieri, Luca Mainardi, Alfonso Manzotti, Pietro Cerveri

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PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding by Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn

“…We evaluate state-of-the-art methods on panoramic segmentation and change understanding tasks. There is a gap in existing methods, as they are not designed for panoramic inputs and struggle with varying ratios and sizes, resulting from the unique challenges of visual object rearrangement. …”
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A Training-Free Infant Spontaneous Movement Assessment Method for Cerebral Palsy Prediction Based on Videos by Qingqiang Wu, Penglin Qin, Jiachen Kuang, Fan Wei, Zejiang Li, Ruping Bian, Chengcheng Han, Guanghua Xu

“…What’s more, our method is interpretable with visualized results. Conclusion: The proposed method can quantify abnormal brain development in infants effectively and be used in different datasets without training. …”
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Distillation and Supplementation of Features for Referring Image Segmentation by Zeyu Tan, Dahong Xu, Xi Li, Hong Liu

“…Referring Image Segmentation (RIS) aims to accurately match specific instance objects in an input image with natural language expressions and generate corresponding pixel-level segmentation masks. …”
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GDPGO-SAM: An Unsupervised Fine Segmentation of Desert Vegetation Driven by Grounding DINO Prompt Generation and Optimization Segment Anything Model by Shuzhen Hua, Biao Yang, Xinchang Zhang, Ji Qi, Fengxi Su, Jing Sun, Yongjian Ruan

“…The framework combines the Grounding DINO object detector and the pre-trained visual model SAM, employing a task-prior-based prompt optimization mechanism to effectively capture the innate features of desert vegetation. …”
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Aerial Images Segmentation with Graph Neural Network by A. V. Emelyanov, A. V. Emelyanov, V. A. Knyaz, V. A. Knyaz, V. V. Kniaz, V. V. Kniaz, S. Yu. Zheltov

“…At its core, maps represent information about a certain area in a vector form, that not only contains visual information about area, but also reflects some relations between objects in the map. …”
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Causes of visual impairment in patients with ocular toxoplasmosis by Nedime Şahinoğlu Keşkek, Fikret Ünal, Selim Cevher, Şakir Özgür Keşkek

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Improved Segmentation of Infant Retinal Images and Quantitative Vascular Analysis by Ying Wang, Xiaoyu Zheng, Chunlei He, Jianfeng Zhang, Shoujun Huang

“…Simultaneously, we used images with optic disc segmentation labels to train U-Net1 network, which is a U-Net network with half of the channels. …”
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ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation by Javier Noa Turnes, Mingzhe Jiang, Saeid Taleghanidoozdoozan, Linlin Xu, David A. Clausi

“…In addition, ITT incorporates a novel loss function, including a pixel-based term that guides the semantic segmentation and a region-based term that promotes region-consistent feature maps, increasing the classifier confidence and improving the predictions along object boundaries. …”
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Image instance segmentation based on diffusion model improved by step noisy by Hui Ma, Wanchun Sun, Shujia Li, Jinjun Zhang

“…Abstract In visual tasks, image instance segmentation has always been one of the most crucial core technologies in various fields, such as autonomous driving, and medical image analysis. …”
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