专题:Visual Attention and Saliency Detection

This cluster of papers focuses on computational modeling and detection of visual saliency, including topics such as saliency detection, visual attention, deep learning for salient object detection, analysis of eye movements, image and video segmentation, and the interplay between bottom-up and top-down attention mechanisms.
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近5年高被引文献
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

conference-paper Full Text OpenAlex 13150 FWCI1394.4896

A ConvNet for the 2020s

conference-paper Full Text OpenAlex 8389 FWCI567.7231

DETRs Beat YOLOs on Real-time Object Detection

conference-paper Full Text OpenAlex 4885 FWCI1018.4223

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

conference-paper Full Text OpenAlex 4776 FWCI997.3313

A Survey on Vision Transformer

article Full Text OpenAlex 4667 FWCI295.8874

Object Detection in 20 Years: A Survey

article Full Text OpenAlex 3671 FWCI277.5294

Masked-attention Mask Transformer for Universal Image Segmentation

conference-paper Full Text OpenAlex 3535 FWCI240.8495

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

article Full Text OpenAlex 3090 FWCI278.069

YOLOv10: Real-Time End-to-End Object Detection

conference-paper Full Text OpenAlex 2893 FWCI604.1205

Swin Transformer V2: Scaling Up Capacity and Resolution

conference-paper Full Text OpenAlex 2661 FWCI198.8798