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Found 7 papers, 1 papers with code
RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining
Developing advanced medical imaging retrieval systems is challenging due to the varying definitions of `similar images' across different medical contexts.
First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Atomic Activity Recognition 2024
This report presents our team's technical solution for participating in Track 3 of the 2024 ECCV ROAD++ Challenge.
First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Spatiotemporal Agent Detection 2024
Secondly, we design a dual-stream detection model with a low-light enhancement stream to improve the performance of spatiotemporal agent detection in low-light scenes, and the feature fusion module to integrate features from different branches.
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
To improve the applicability and generalizability of research results, we analyzed what ingredients in a study would facilitate an understanding of why a ML/DL technique was selected for a specific SE problem.
Comparison Network for One-Shot Conditional Object Detection
A two-stage detector for OSCD is introduced to compare the extracted query and target features with the learnable metric to approach the optimized non-linear conditional probability.
A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images
Deep learning based object detection has achieved great success.
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
Specifically, a sampling fusion network is devised which fuses multi-layer feature with effective anchor sampling, to improve the sensitivity to small objects.
Ranked #53 on
Object Detection In Aerial Images
on DOTA
(using extra training data)
