Object Detection

Objects in post-fire environments often undergo irreversible physical transformations that change their geometry, material state, and visual appearance. Detecting and identifying these remnants is critical for locating h…

Object Detection

Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection

2026-09-09 · Ibrohimjon Muminov, Jihie Kim arxiv

Real-world detectors must often interpret functional or ambiguous prompts, yet conventional models such as YOLO remain restricted to fixed class lists. Even open-vocabulary models like YOLO-World frequently misalign vagu…

Object Detection

Hyperbolic Geometry for Open-World Object Detection in Remote Sensing Imagery

2026-09-09 · Wuzhou Li, Jiawei Zhou, Shenghang Wang, Xiang Li arxiv

Open-world object detection (OWOD) extends closed-set detection by requiring models to identify unknown objects and incrementally learn them once annotations become available. In remote sensing imagery, object categories…

Incremental Learning Object Detection Metric Learning

Scalable Detection of Fossil Palynomorphs in Multifocal Digital Microscopy Images

2026-09-04 · Abbas Shaikh, Praise Mayor, Patrick Ainlay-Vazquez, Aditya Viswanathan 외 arxiv

Palynomorphs (microscopic, organic-walled fossils such as pollen, spores, and dinoflagellates) are important high-resolution records of past climates and are critical to the study of ancient ecosystems. Existing methods …

Object Detection

Efficient Multi-Timescale Event Representations for Feed-Forward Object Detection

2026-09-04 · Fredrik Lundell, Per-Erik Forssen, Mårten Wadenbäck, Astrid Lundmark arxiv

Autonomous systems require robust low-latency perception under rapidly changing scene dynamics and challenging illumination. In event cameras object detection commonly relies on recurrent architectures to accumulate spar…

Object Detection

Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection

2026-08-31 · Gongzhe Li, Linwei Qiu, Peibei Cao, Fengying Xie 외 arxiv

High-dynamic-range (HDR) images, with their rich tone and detail reproduction, hold significant potential to enhance computer vision systems, particularly in autonomous driving. However, most neural networks for embedded…

Autonomous Driving Object Detection

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