arXiv:2603.29193v1 Announce Type: new
Abstract: Large Language Models (LLMs) often experience performance degradation during long-running interactions due to increasing context length, memory saturation, and computational overhead. This paper presents…
arXiv:2602.19123v2 Announce Type: replace
Abstract: The fine grained classification of street trees is a crucial task for urban planning, streetscape management, and the assessment of urban ecosystem services. However, progress in this field has been …
arXiv:2603.29191v1 Announce Type: new
Abstract: The aim of our paper is to render an object in 3-dimension using a set of its orthographic views. Corner detector (Harris Detector) is applied on the input views to obtain control points. These control p…
arXiv:2602.01639v2 Announce Type: replace
Abstract: Composed Image Retrieval (CIR) aims to retrieve target images based on a hybrid query comprising a reference image and a modification text. Early dual-tower Vision-Language Models (VLMs) struggle wit…
arXiv:2603.29186v1 Announce Type: new
Abstract: This paper proposes the synthetic long-video meta-evaluation (SLVMEval), a benchmark for meta-evaluating text-to-video (T2V) evaluation systems. The proposed SLVMEval benchmark focuses on assessing these…
arXiv:2512.21948v2 Announce Type: replace
Abstract: Spectral indices such as NDVI have driven vegetation monitoring for decades, yet their design remains largely manual and ad hoc. Their usefulness stems not only from their empirical performance, but …
arXiv:2603.29185v1 Announce Type: new
Abstract: Visual relocalization is a fundamental task in the field of 3D computer vision, estimating a camera’s pose when it revisits a previously known scene. While point-based hierarchical relocalization methods…
arXiv:2512.10334v3 Announce Type: replace
Abstract: Thin and elongated filamentous structures, such as microtubules and actin filaments, often play important roles in biological systems. Segmenting these filaments in biological images is a fundamental…
arXiv:2603.29171v1 Announce Type: new
Abstract: Accurate segmentation of brain tissues such as gray matter and white matter from magnetic resonance imaging is essential for studying brain anatomy, diagnosing neurological disorders, and monitoring dise…
arXiv:2511.00524v3 Announce Type: replace
Abstract: Subtle abnormal events in videos often manifest as weak spatio-temporal cues that are easily overlooked by conventional anomaly detection systems. Existing video anomaly detection approaches typicall…