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Found 7 papers, 1 papers with code
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to decision support systems.
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
Cross-domain weakly supervised object detection aims to adapt object-level knowledge from a fully labeled source domain dataset (i. e. with object bounding boxes) to train object detectors for target domains that are weakly labeled (i. e. with image-level tags).
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Weakly Supervised Object Detection
on Clipart1k
Intrinsic Relationship Reasoning for Small Object Detection
In this paper, we propose a novel context reasoning approach for small object detection which models and infers the intrinsic semantic and spatial layout relationships between objects.
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
In this approach, five components are involved, including two teachers, two students and the desired spatiotemporal model.
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
To address these issues, we design an extremely light-weight network with ultrafast speed, named UVA-Net.
Visual Attention on the Sun: What Do Existing Models Actually Predict?
Visual attention prediction is a classic problem that seems to be well addressed in the deep learning era.
Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction
After that, the visual saliency knowledge encoded in the most representative paths is selected and aggregated to improve the capability of MM-Net in predicting spatial saliency in aerial scenarios.
