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From the 2 of 20 linked papers with an AI index.

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20242026
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cs.CV2026

Semantic-Aware Temporal Adaptation for UAV Anti-UAV Tracking

Xiaozhen Qiao, Da Zhang, Yubin Guo +3

The paper introduces SATATrack, a framework that uses semantic descriptions of the target and online feature distribution alignment to improve UAV-to-UAV tracking under rapid appea…

cs.CV2026

Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline

Bingyu Li, Tao Huo, Haocheng Dong +4

Open-vocabulary remote sensing image segmentation (OVRSIS) remains underexplored due to fragmented datasets, limited training diversity, and the lack of evaluation benchmarks that…

cs.CV2026

An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation

Bingyu Li, Da Zhang, Tao Huo +3

Large Vision-Language Models (LVLMs) have shown strong visual understanding and language-guided grounding abilities, yet their capacity for multi-temporal visual reasoning remains…

cs.CV2026

Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting

Da Zhang, Bingyu Li, Feiyu Wang +2

Zero-shot object counting (ZSOC) aims to enumerate objects of arbitrary categories specified by text descriptions without requiring visual exemplars. However, existing methods ofte…

cs.CV2026

Exploring the Underwater World Segmentation without Extra Training

Bingyu Li, Tao Huo, Da Zhang +3

Accurate segmentation of marine organisms is vital for biodiversity monitoring and ecological assessment, yet existing datasets and models remain largely limited to terrestrial sce…

cs.CV2026

MARIS: Marine Open-Vocabulary Instance Segmentation with Geometric Enhancement and Semantic Alignment

Bingyu Li, Feiyu Wang, Da Zhang +3

Most existing underwater instance segmentation approaches are constrained by close-vocabulary prediction, limiting their ability to recognize novel marine categories. To support ev…