IEEE5d
Boosting Open-Vocabulary Object Detection Performance via Class-Agnostic Pseudo-Labels and MultiModal Hybrid Knowledge
Abstract: Open-vocabulary object detection (OVD) is a significant task identifying ... We propose two solutions: Localization Network Enhancement based on Class-Agnostic Pseudo-Labels (LNE-CAPL) and ...
GitHub28d
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
If you find our paper or this code useful for your research, please considering cite us ( °u° )」: @inproceedings{fu2025cross, title={Cross-domain few-shot object detection via enhanced open-set object ...
IEEE1mon
An Efficient Multi-band Infrared Small Objects Detection Approach for Low-Altitude Artificial Intelligence of Thing
Abstract: As a cutting-edge technology of low-altitude Artificial Intelligence of Thing (AIoT), UAV object detection significantly enhances the surveillance services capabilities of low-altitude AIoT.
unite1mon
Ir-Rwol tal-AI fl-Immaġini Mediċi għal Sejbien ta' Anomaliji Bikrija
AI can support this by providing critical and relevant information at the point of care – e.g. quantitative values – or by automating a few tasks such as detection or segmentation of an anomaly. This ...
GitHub5mon
awesome-time-series-papers
Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching Code ICLR 2025 Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection Code ICLR ...